{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "43225437",
   "metadata": {},
   "source": [
    "# BreaKHis Model Development\n",
    "\n",
    "With the split fixed, this is the notebook where the image model actually gets trained and compared. I already have a saved checkpoint from the full corrected patient-level run, so I am loading that back in here rather than rerunning a long training loop every time I open the notebook. The first cheap thing I tried was a frozen ImageNet feature extractor, and I have kept that result alongside the full fine-tune because the comparison tells an important part of the story.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "codex_research_commentary": true
   },
   "source": [
    "## Notebook Purpose\n",
    "\n",
    "This notebook documents the image-model development stage. It records the corrected patient-level split sizes, the checkpoint paths, and the saved training/development outputs used to select the final BreaKHis model.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "codex_research_commentary": true
   },
   "source": [
    "## Why This Matters\n",
    "\n",
    "The final image checkpoint should not appear as an unexplained artifact. This notebook connects the selected model to its development evidence: training history, validation behaviour, and comparison outputs.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "codex_research_commentary": true
   },
   "source": [
    "## Resolve Training Inputs And Artifacts\n",
    "\n",
    "This setup cell loads the full corrected split and defines the checkpoint paths. It makes clear which model file is the older baseline and which one is the clean patient-level checkpoint intended for final inference.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "37afc5c0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-04-19T22:41:05.612448Z",
     "iopub.status.busy": "2026-04-19T22:41:05.612301Z",
     "iopub.status.idle": "2026-04-19T22:41:09.287993Z",
     "shell.execute_reply": "2026-04-19T22:41:09.287558Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Project root: /Users/sergeysotskiy/Documents/UNI/year 3/Dissertation/dissertation_project\n",
      "Outputs: /Users/sergeysotskiy/Documents/UNI/year 3/Dissertation/dissertation_project/outputs\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Full corrected split sizes: {'train': 5403, 'val': 1171, 'test': 1335}\n"
     ]
    }
   ],
   "source": [
    "from __future__ import annotations\n",
    "\n",
    "import json\n",
    "import random\n",
    "import sys\n",
    "from pathlib import Path\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "SEED = 42\n",
    "random.seed(SEED)\n",
    "np.random.seed(SEED)\n",
    "plt.style.use('seaborn-v0_8-whitegrid')\n",
    "\n",
    "CWD = Path.cwd().resolve()\n",
    "if (CWD / 'src').exists() and (CWD / 'data').exists():\n",
    "    PROJECT_ROOT = CWD\n",
    "elif (CWD.parent / 'src').exists() and (CWD.parent / 'data').exists():\n",
    "    PROJECT_ROOT = CWD.parent\n",
    "elif (CWD.parent.parent / 'src').exists() and (CWD.parent.parent / 'data').exists():\n",
    "    PROJECT_ROOT = CWD.parent.parent\n",
    "else:\n",
    "    raise RuntimeError(f'Could not resolve dissertation_project root from {CWD}')\n",
    "\n",
    "REPO_ROOT = PROJECT_ROOT.parent\n",
    "OUTPUTS = PROJECT_ROOT / 'outputs'\n",
    "FIGURES = OUTPUTS / 'figures'\n",
    "METRICS = OUTPUTS / 'metrics'\n",
    "REPORTS = OUTPUTS / 'reports'\n",
    "MODELS = PROJECT_ROOT / 'models'\n",
    "DATA_ROOT = PROJECT_ROOT / 'data' / 'dataset_cancer_v1' / 'dataset_cancer_v1'\n",
    "WISCONSIN_ROOT = PROJECT_ROOT / 'notebook_Wisconsin'\n",
    "\n",
    "for path in [FIGURES, METRICS, REPORTS]:\n",
    "    path.mkdir(parents=True, exist_ok=True)\n",
    "\n",
    "if str(PROJECT_ROOT) not in sys.path:\n",
    "    sys.path.append(str(PROJECT_ROOT))\n",
    "\n",
    "print('Project root:', PROJECT_ROOT)\n",
    "print('Outputs:', OUTPUTS)\n",
    "\n",
    "import torch\n",
    "from IPython.display import display\n",
    "\n",
    "from src.breakhis import build_binary_records, patient_level_split\n",
    "from src.fusion import aggregate_image_embeddings, extract_image_embeddings, run_patient_level_image_baseline\n",
    "from src.image_pipeline import save_history_plot, train_breakhis_baseline\n",
    "\n",
    "df = build_binary_records(DATA_ROOT)\n",
    "split = patient_level_split(df, random_state=SEED)\n",
    "train_full = split.train.reset_index(drop=True)\n",
    "val_full = split.val.reset_index(drop=True)\n",
    "test_full = split.test.reset_index(drop=True)\n",
    "frozen_features_checkpoint = MODELS / 'breakhis_resnet18_baseline.pth'\n",
    "clean_checkpoint = MODELS / 'breakhis_resnet18_patient_level_clean.pth'\n",
    "print('Full corrected split sizes:', {'train': len(train_full), 'val': len(val_full), 'test': len(test_full)})\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd86e42e",
   "metadata": {},
   "source": [
    "## How the training run was set up\n",
    "\n",
    "The clean run used 5,403 training images, 1,171 for validation, and 1,335 for test, all from the corrected patient-level split. Normalisation came from BreaKHis itself rather than being copied over directly from ImageNet, and the augmentations stayed fairly light. Histology texture does not really survive aggressive augmentation without starting to look like something else.\n",
    "\n",
    "I stopped once the validation accuracy had clearly flattened and the later epochs were drifting the wrong way. That is still a judgement call, but it felt more sensible than fixing an arbitrary epoch count in advance and pretending it had special meaning. The saved checkpoint is the best-validation one, not the final epoch.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "codex_research_commentary": true
   },
   "source": [
    "## Load Training History And Development Comparison\n",
    "\n",
    "This cell reads the saved training metrics rather than retraining. The tables provide the evidence used to discuss model behaviour, including whether validation performance supports the selected checkpoint.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f4e2fb70",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-04-19T22:41:09.289689Z",
     "iopub.status.busy": "2026-04-19T22:41:09.289550Z",
     "iopub.status.idle": "2026-04-19T22:41:09.301155Z",
     "shell.execute_reply": "2026-04-19T22:41:09.300616Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>train_accuracy</th>\n",
       "      <th>val_loss</th>\n",
       "      <th>val_accuracy</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.3437</td>\n",
       "      <td>0.8538</td>\n",
       "      <td>0.5509</td>\n",
       "      <td>0.8668</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.2904</td>\n",
       "      <td>0.8780</td>\n",
       "      <td>0.4119</td>\n",
       "      <td>0.8565</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0.2618</td>\n",
       "      <td>0.8852</td>\n",
       "      <td>0.5719</td>\n",
       "      <td>0.8070</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   epoch  train_loss  train_accuracy  val_loss  val_accuracy\n",
       "0      1      0.3437          0.8538    0.5509        0.8668\n",
       "1      2      0.2904          0.8780    0.4119        0.8565\n",
       "2      3      0.2618          0.8852    0.5719        0.8070"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>run_name</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>f1_score</th>\n",
       "      <th>roc_auc</th>\n",
       "      <th>brier_score</th>\n",
       "      <th>ece</th>\n",
       "      <th>best_val_accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>initial_frozen_features_full_split</td>\n",
       "      <td>0.923077</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.888889</td>\n",
       "      <td>0.941176</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.047740</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>clean_breakhis_augmented_full_split</td>\n",
       "      <td>0.769231</td>\n",
       "      <td>0.875</td>\n",
       "      <td>0.777778</td>\n",
       "      <td>0.823529</td>\n",
       "      <td>0.888889</td>\n",
       "      <td>0.149788</td>\n",
       "      <td>0.234854</td>\n",
       "      <td>0.8668</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              run_name  accuracy  precision    recall  \\\n",
       "0    initial_frozen_features_full_split  0.923077      1.000  0.888889   \n",
       "1  clean_breakhis_augmented_full_split  0.769231      0.875  0.777778   \n",
       "\n",
       "   f1_score   roc_auc  brier_score       ece  best_val_accuracy  \n",
       "0  0.941176  1.000000     0.047740       NaN                NaN  \n",
       "1  0.823529  0.888889     0.149788  0.234854             0.8668  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "history_df = pd.read_csv(METRICS / 'breakhis_patient_history.csv')\n",
    "comparison_df = pd.read_csv(METRICS / 'breakhis_model_development_runs.csv')\n",
    "display(history_df)\n",
    "display(comparison_df)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "codex_research_commentary": true
   },
   "source": [
    "## Display Development Figures\n",
    "\n",
    "This cell surfaces the saved training curve and model-development comparison figure. These are communication artifacts for the dissertation rather than new computation.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c8fa4ef8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-04-19T22:41:09.302494Z",
     "iopub.status.busy": "2026-04-19T22:41:09.302407Z",
     "iopub.status.idle": "2026-04-19T22:41:09.308488Z",
     "shell.execute_reply": "2026-04-19T22:41:09.307719Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training curve\n"
     ]
    },
    {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Development comparison figure\n"
     ]
    },
    {
     "data": {
      "image/png": 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nE7gZrgQfvvvd71bhrgRQBrPGGmtUf9jPH6czcdtE3nsmcH70ox8N2lIkk4t77733iP2xO5Pa3/zmN8v555/fb0KnXSYWE/jIextuG5XRlknHtFk588wzq4ntTu/l5S9/eTUhse66647Ia/7pT38qJ5xwQvnLX/5STa53kjGR1333u989y9fN+E9lgnZf/OIXq7Bir9Je5VOf+lS/CZRs60yYzepT9CeffHI1kZuQRieZXE8b0fe+973VJPTskABB9o9MmCUoMZhMjKeNUNZjQhTdyD6Xx7QkqJCqepEKCUcddVR1uzVx1y4T/qmYke2byfhuqzQceOCBfbf32muv8qEPfaj6PuHLVLX44x//WE0Q1mXSK8fID37wgwMmXXMszT59yimnDLpPJ1SSieHNNtusjIcx3y5jqr0ixSWXXFJNFmccZtt/73vfK7feemvHx+ZcsuWWW5b3v//9VYhlMF/+8perdk6DaR8Hsc8++1TPORoS7M055pxzzqkmygeTgNRuu+3WqLJjwjff+c53qonphIs6yRjO2N1ll12qKiHdBoA+9rGPldNPP73v9re+9a2+6jE5jnz1q1+tQoCdZLvmvJL9tB7Eyv6Y9kY59yacVpdjWSbWM46H2tYtCTC3v9dWODthnhxf8x46tVLKekjrpne+850DKnZ2K9v1tNNOK+edd14VUppVy6Ycv7KdE5Do5jqmPp5zXPmf//mf6niZtlH1yqI5fuT5U7mmFcbM2Lr44ov77pOKKUccccSQr5vt8uMf/7g6liVUNpis7xxzXve611UVgZpcI2Wd/exnP6vOSwmU1VtstSSUl/GXMZUwW7fax0fCYgnjRfaX7J953YTmBnvNXJPlODFYCGa0ZZ0kWJLr4E7nqIypXENkvSQUN5is1xz/2o/B2b+aVKfNc+V4nlDe7DiWjqT8TlE31Lj9wx/+MKD6Vc7RQ63rJhZaaKHy9re/vd/+nnNj9sOs205yHK4f91PNqL0F/HDtvPPO1bVHjpX5yjl/NIKQs5LjePs1a5ah/feW7Acve9nLqg/7tOTYnHWX4+JEdtNNN1Wht/pxrdtr0m7kGJJzcq5Hsp3z3An3AwAwMfmIDgAATFL5w21CWO2aTPSkilb7H92H234wz5UARCbV8oniocJXrUn0TOLmD/3tnwLvVv5onsmaY489dtDwVeSTxpk0TfBisOBDt5OZhx12WBUay+TpYEGN1rrIxGwmKN761rdWVbLGo0xAZXtlorRT+Kr1XtIuI5PAxx9//LDDXpmUzyR52pgMtT0effTRalxvv/321eT4YCGISGilXqWrXr2gW2eccUa/2y996UuHDF9lHGciLaGGbPPBwleRMZOxkwmZ9ooCoyWTPpnMTRBqqPBVqwpCwmcZD9mnhrNsmVjdbrvtqu032PPk5xlXb3nLW6rA26wCFkNNWCc8ledJWKZT+KoVfMi2fdOb3tSvyl8m4ROe+drXvjbkPp0QyP/+7/9WrzUexvysJAyQcXnooYcOGr6KTACfddZZ1TpI4Gg8y/rJWMkxOMeuocJXrRDVBz7wgfKOd7yj2g7dSLgoAcmEqhLwGmobZAyn0tSHP/zhanI+IcCmEvzJOSrHkcHCV5HjdIIEOa+0v/8EaLMNM8Y7ha8i+0bG14477lgFFZvIe8y+nWDfYPts9skcCxN8zjkw760XCYvmuuDII4+sQj3dHBty/EroJ8evVLtpItszy9vpeirrNGGm9sBVk8n+bKNPf/rTQ4avWsuS8fu5z32uek/t4Ydu/PnPf67Cdp/4xCeqKlSDha8i4yjXYNmuCZ8N57jTOp7m2m6w8FXrNbOdEzDL2J3dEnrMfpBz1WDnqIypBPxb10iDSeAw55V6UD/Xnr3K+GoPX3V67vEq275uqGunhCvrRqsNetZhPSDb6fVbcq6uG+nKVKmql7Btrg1Gqwpdk/aDCWOmOl67XJPU941zzz23THSzYzsnAJjwfX4Pze8TwlcAABObABYAAExi9WpX+SNyr5NmmXRvr3KUibCmMsGaT5inktJQAZROEtRKFZuEt4aaJKxXPMrrtVccmJVM8qVlRpNgSSa9E75IsKzX95eKSAmHJMAxnmR9py1Gt+MmE9AJ8nz7299u9HppQ5RASL3VyawkNJAJolR9GSzUl4mrBCDa5XWGCtR0kqBcttdQE0/1Se4EIa644oqeXifrMusxQY9WJbuRlrBgxvusQip1CTskZJTwxFDtg4aaQE7Ln15CFwl+pZpVkxBWgmwJjA0WOukUsElFk+zTCZPkODJUgLNdjk95rW4nHkdzzA8lE/hve9vbegoEZf0l8DJU0GAspYVZ9rWMlW7PE+37abZzvdpKXYJPCaEMNTE/1LbOOk9oq1dZ9xmTvQRREu5oVX9LGC3fd3ssyb6ZoFcv589WG8uEBTL53q1UwMt26/ZYfPjhh1ehoV6PW+1VMRMialXi60UCXO1VQetS7aXp5HwCsFkPCeb0Kus7x9RUYuxGzi3ZTrMa752OOwmvZRx3G1hsl2Br9rNeAucZs2kF1+17Gwnf+MY3yjHHHNP1OSP7S0JzqZo2mFQ/qwd8mnywoB4AT8Wc2VUtczgStqsfN1Nxb6ONNhr0MfV9LfvXUPcfjqzDenW3BBNzXum0H+Sc0S6Vr1IleLJptaqtj+W6BPnrLaNzLp7oOh3vN9100zFZFgAAJgYtCAEAYBLLJ5TT2iMVQSIhmlST6bYNYSZLWu1i4iUveUlZfPHFGy1LJrHSHiXVGurShi/VfjLxkdZJCRPkfplovu222/rdN+GtTGBlYnhWk+T5JHF98ixtSxKWyafKF1tssaodSt5jggytSgyZIOq2TVT7+0sFm3rIJqG1VJjItsjkTiZoMlGa9l8Jt915551998373nPPPatWH+NhMi0T9lnfdWuttVbZYYcdqlYoaU2W95CwW95PK6iVicteZaI/7Zrqk+ppQ5TAQ7ZZ2kYlHJdJ4wRWUoWkPVCQAFtCOpn0qbfeimz79nBYtlvayGTSu+nkZ8bsYC0kU8Ek46I+DpdeeunqPWWyLlW5UvEoAZ9UMEkooP3+Wbep0NNpWwxH2pAlLFiXFoGpMJFWKKlwkIDVDTfcUK2nevAslUESEEsoodvKDHm+7L/tQaqsh1SfSMvRBGdSMSyVZOqvlwnPBCcSqOpW1md7Za+s71Qumj59etXWKvtd1nuq9bSv9xwPMo5zzGyFzFKlIGM/x8Jsw4zVLGMCSQlttcsypuXUUMeS2THmB5PgXXv4Iq+VY9U666xTVV/Ifp3tm/FeD+1kvaTiS70Cxuqrr97XxjXrI8e5djkOtld2yP1HSsZTAoEJOXWaLM0+utpqq1X7a47Bqe6UFkntIcCcb7JeTjrppI7jOesr67oeLsp9E7rJBPQKK6xQbYesv7xGKsy1Vw7MMTKtWnMc6qVVZb1CXY6/qc6T95TWbjl+pKJfPaSS4HX29Rw/WqG0nF9yLMw+nse2ghH1ylhZ7lR9S1CzG3n+VIdqH88ZT63zRdZLJvKzTurVmnLOzmNTTSihjMFkm6VdZl3Gb7ZBjiHZfyLLkefNMSAhgrpUfkv7w273mxwrfvCDHwx5n7ThyjrtVdZdqqTVQ2hpRdW6Psr7yvEkgZBcI2VdtFeQynGiFSzLsWoweVynY2iOjakcl3WZ7zNWM+YSGKwHRBPcTIAr1wndtj7M2Hrf+97XdzzNe0ml1hwn044v2yHB0IRXc5xrH4t5bxmH2Wfmm2++Mto+//nP9wv9ZL1k/061phwzcm7PeqxXjUzluRyzUw20LvtdwkPtx8VcN330ox8dcsy3y7VCKtO2mwjVr7L9PvnJTw64Fsr+Vw/ttGSc1H8HyPXnSLb4q0uYrb26YPbLXNfX2+fm3N363ar9WDfR2+11U/0q2ystieuy/6ayXft1Zdop55jfTTvb8apebTLn+/XWW2/MlgcAgPFPAAsAACaxTFJlwqj9E/aZ1Oo2gJXARXurrkxANZXJ4z/96U/9fpbJxFSy6FQtIhP1CXZkkjqTx+3LkYnkTBxn4qaTTJh87GMfG9DGK8GATOBlAr7emi6T6p/97Gf7Jhp6rZ6Sijf18FUmTjPJmUBLXSYvEhBLtYT2QFArnHLKKaf0FKYYaalskW3TLpOlCSckUNQeTnj+859fhRve/e53V0GhBEJ6XX+ZlMtj60GUTGJmW9Ynk7P9M46zrjLh3D45nInhjLdU7qpL4CPbJa0pW7J/9BLAqlesyOR4pwnhbMusr/YJx6zDVLHJ2K4/JhOzmUhNBZlMyLa3n0oIKO1JMuE9EjLBfdxxx/X7WSaAEwxJFbf6JGJaoqTSUh738Y9/vN92SjWrTFYnPNCNhB5bsg5SNaReTSGBrFSEy/5Yn7RNyCT7crdVZtonyLOds/z1fSvHmzxfApDtx5qEsloy8Z/gUT2Emp+nglUem+BY++tmoj1hhrEc80O1OosELY444ogqONIu7Y6yTjIesm+3v7dMPKc1WCrutMvytc4vmXjNmGmX1oAJKI2GtDOrV/PKe8sxOOO3LuePbLPsi+2PS7AlYbZU+GmXcZH7todmW5PuWfdrr712v5+/4AUvqAJt2acS9Mn5tP250kowYduh2m91GsfZN7PPJNTULsfhHItyTkkIpF37vp7jd8ZQfR/PtUL2w5wL2wN3Od6l2lQ3oZe8r9a4yvEk4zvjpz1c8sIXvrA6ziWAlXXQXkEv+0sCWP/zP//T8fkz7urh3oQxcv4d7HiQ/bPV2jOv1x6GS3gp+1E9XDGYBC3b10327QQ5E1RKZaccs7MNmki4tF4BM+eBjNFOMn6zLVPVLOeHlgQfW5XxOsky5phalyBozlf1MFXeY45vCaqnClV7RbScq3LMSaXMbiuPtVrnrbLKKtV2y3Gmvt+k0mq2WY477QGzvHbCRwmnzi4J/OT9JdjXLseUjNP/+7//G1DxM8eDbJ+EdOuyj7UHsBLmzLbvtqJOgpLtodGE4IdTmXZ2yHv8zGc+02+cRq4jcx08mAS/69eS9e0wGtu7LuO8foxoHedm57KNhRzv2s9dkZDVYL+fJNjbHsDK9st1VK5pJqIc2+tVApdffnktAgEAGJIWhAAAMMkNpw1hqlS05I/tg1X5mZVMmiVQVP8EdSpJDBWiyARxJvgzmdVeRSZ/0M+E9mBtAjNBV5+Iz7JnEq0evmpJ2OFzn/tcFfroVSqupAJQfXIukxCdwlftE8cJrRx44IED2kZlYn4spf1OvepNJlASHhqs0lGqOyQk1OST4ZmgaQ9FRSplJDA3VCWPVDBKIK9VdaclY6vTBFmndoGpYNRte7ksY73iRT0I0fLVr351QJulVsu/ocIMCYmlwksqw7VLELFpy616SKK9ukdk/8p+lgnvoSo4ZH/Nuq1XrMh2v/XWW3tajrxOgiGdWtm0b6u873oVqYRteg35Zd8+5JBDBp04zD472MR+QgEZZ4NVAMw4zARzXb2C11iN+cHkdTLW6uGr+n6dQE99XNQn08dSQlH1am6pdpjzTqfwVUsq1Rx//PFVUKs+ntuDeK1KNQnZ1MdF1ns9fNUuYybnnvq5JUHEboMr7dICcrBjTuScOVgFxXe84x3VOWewfTwh0Bzj66GZXtpUtmR/SJhrsMo+Cah85zvfGVDNptO5pz0MVq80l5BSN2HMhCw7BY/qwfChtIIvOf6lSlrGXM7fuR5JW75UROo2zFVXb82WQM5g4av2/TfH8gQC2g3VWjFjrt4iOUG5BKmGqmSVsZEAWn1s5TpxqJaMnSR0mOeqh6/a5TqiU5Wu2XncSaAmx8fBgjU5l2R/ynG7XUJ+g1WsTFgqoammbQjrFThzbdttBbLZIWMrocqEllI5LWHRBFHrVbsi4cEEGAdTD7u2jtmjqdM1e70KV7QHA1u6DdNOJPnQTr3S11DXbNme9fNhfp+pfyBmosh2rl9rTsbtDADAyBLAAgCASS4T6+2ho4Sv0tKsm9BUezggk6VDhQKGkiBKve1IJmU6fdK8k3zaul6NJIGZTIh3konRdmk1mAnSblqkpbLMyiuvXHqR8FX7H+hT2StVEbqtYJUqCvV2HgkA9BowGSmZ/K4HwFIFY7CqJO0yRhLk6aUNS4IO9ZZSeb2hKiPU2zymWld7iCLrLutwsFBi+6R/7pt2l92oT34mLJWKLp0m6lMhqD5plZZh3ciEaibK25cz26UeZGwik72ZHG236667VvtZN7LfZn9qlzDkt771rZ6WI+3iUn1uVlKZp77/pzJGL5P+2SdT/WZWBqsOmODGrPbnBObqQYj6eh6rMT9UWKebNoBpH5RJ9HbXXHNNGS+yr7W3tGydY7pp5ZrzQ6pUtUtwsr0CXbZXvapU9tGEX7ppN5cAYapI1cMGOYe1VxSalYyRtAcdSqvtbaf32c0+0KnS5WDjeDCpcNXNsS4Btvq6T8BqsHN7wgDtsr/1EppOdap6+KVTyGNW0pYxgaS6BIqaXifVQ8BDBVPa5f20r4Nc56RVYqfrh1SxSlvMdmkBWA/dDSbhl1Stql9LffOb3yy9SGiu3r60k7R6TcXKsTju5BqmU8XDThLASgW6dp1at7aOG/X9M0GlbgIq2a5pC9ttGGak5HowoZpuvhKcy76Rc2najterxkWrjfisAoZptVnXtA16tzq1Q2yvmtdSDyW1jrGTTUKl7VrbeCj1DzmkrWq9itZE0Wk7D9YyEwAAWgSwAABgkktooF6RoZs/hNcnQLttW1iXietMLrVLYKXXlimZpF1ggQX6/ezHP/5xx9Z5mWRsl/Y53U7apDJR2kx1K5/0r4d3EhZJ4KMXqRTS7uabby6XXnppGQupMFGfMOt2gjZSLaLbME9kQrFeYaCXbRCZ9K6HdNKqrh7KiAQm6tXcuqlAkRBhe1W4ThNN7c/X3iYo6lUyupnsrq/H+mRYE/X9P2O+HoKYlVRfSku8+vrutspBJt9TbauXoFCCJe26Dc3FG9/4xq72ybSTq8uEY31yfaig0qwmbsdizHeS9dltIDDqQYi8Tn2Mj5X6+SrbrNsWlZHKZ63zSyo2JdjTHohJ6KNe+S6hxW4CXu2BjnoAKtViWm1vu5EKVt3oNI4TrOqmjWBaRNbDhoON48HeZ1rVdevtb3/7gODCYPt2qkJlW+XYk/Bhjo/dBKvbx3xa37UbrNrWYBIarVcnHAn10HK9Ot6sAm+p5JZrrbRCznmqXjWwU4AtetlWreu3epvFVBHrtopkjv29VFOtH3fqFdBGS4KO6667blf3zRisn89ybKxf+w4Wmsp9zz///K6Oc+3Vy3KcSkhtIsmxOZXv6u1rO0n1vbr67wEjrdPzdwrhdDpudHN8nUhS1bT++9Rg17ztcoyuH8/S1nci6rSd61UbAQCgTgALAADmAPXJsm7aELaHNFJhIVVomkjrovrk7U477dTz86SKV/19ZKKxHjb4y1/+MqB1VK/hsUwOdjvJkxZj9WWoV7PqRiaU65PQ9YmP2aVeWSjLNVQbr8ECL93KNqtXiHjxi19celUfo5m8SzvHTuotvG688cYB7cXqfv/731ef5G+fdB3sfdbfU6oM9RLWGOw9JbSTkGFTqVRVH1epxtFrYDDqlWcSvso+2W1goNsKca12cvVqWb1UwOp2PHWqYFEPmg2lvh4HC3eMxZivy5jspZJDp7Y7vYZXRkMqGNXDURlfvcjEeSq4JcCW4EvCEO2Vpv785z8PeEyT89hmm21WBZzaXXzxxV0/vlPVpW7HcS+hofo47rZtcSTw3U11o5YcB+pVvXJe7RTmTNW8tKXLZH5CjGnn2qt6u7Z6dc5ZScWo0VCvvJnjdNqRdgqhdGpLmmqneY6hqk/Wx3HGRDcV8Oo6VR275JJLug5w1cO0vRx3Ztcxp5dwaqtKbH2/GSxEv8kmmwyolthNCLxegTNBl05Bu/Emx6NcK6VS2s9+9rMqSNmNTvtmL4HLJuq/Pwym0xiut/ac6Orh4BxbBmvT3C4feKkfJ//2t7+Va6+9tkw0nY6nk207AwAw8gSwAABgDpDJjvaJ9lm1IUz1pfYwSib5m37it9OkXCafmkj7pXaZoL3yyiv7/ax+O0Gqblsdtk/Qdlv5IBPFdb22MGxVXalXLen03LNDfR2mrVKvk14JrXT7mPokZQIKvUzQtqy55poDJksGW4epGlGfAE34Yij1/08gqL0F3FCv22RMDNaGajjjIpV8UrVtNPbHXkKD3bQenFWA5N///ne5++67u3rsaqut1tX9OoXCVlpppWFN1o2XMd+pEkkv6q3bWoG+sdbeKnCwqjndSAAu66RTFZP6eSzV6Zrs0wlL1PebhBa7CQFlUrvbwFyncdxrta52vbTDTRBouPt2Qs0j3WouVYbOPffc6rjRJHDRJJDZi06tH0888cQq0PaZz3ymCs53E8YaTCpHpXXrSBz7s3/Vx1i3x/7hHndmxzEn763XY0j2mXprtsGOxTkO1EOi2b4PPvjgoM+fNqD1cO3saD8YuVZK1cv6V8LbCZ7l2rVTECyPS9vkBP/Smjr3zbXucM45o111sVO1v3poc7CfDWf/HG9yXExYrt0rXvGKrqsJd6qUNRGrYHUag5NpOwMAMDp6/+seAAAw4WRiKO2YfvKTn/RrRVOvKDVYO6dOE4Pd+s9//jOg/VsvgYZ6EKiuPpmalhntUt2hlwmflkwodRNkqE9oxsEHH9yoKkF92btt6TPS6q3REvLoVUIMaceWylKzUr9PKjztu+++pYmEvtrDDIOtw9YE6HHHHddv3KcdU6fxkkm5tGbsphVL7luvUpVP/jd5T52CD8MZF6kWVFefNO5WJldT2eL+++8fdH8cTJPX7NRWLfvMYCG4egWtpnLM6la3+/1YjPm6XquedQqI9RpeGQ316ldNQh69nsc6BSN7OY+1VxZJkDjhmFQxGq0xPFrjuJNu23XOat/Odm0SpEvA/F//+lf1lTB5q7phztWdxmsv4bKm58Nu10GuyeotYu+5557ygx/8oPrKeTVV0BJyS4i1l2XpVDmx6bE/AaUE29sDQd0e+3uputfpuDM7jjmdgq3dyHEn7RgHu5aqh6e++tWv9o2/HMNzXd6pulinAHhCi02D3b1KaPSII44Y8j7Z/l//+ter1uCtbXTHHXeUPfbYo2q9uvvuu/f8ummzW9dLO9QmOj1/p+XoVGWw/VpodkpFzSbr9/vf//6gIcwLL7xwwPViN+0H28NaOWfl+NVe5e3DH/5wx/DaWBvsnDeetjMAABOHABYAAMwh0oavPYCVdmqZqOzUaq99AjCTZU0qWrS0t2yLXloT1XV6bL1iwF133TXLP553IxVOutGpYsE555zT6DW7ee7Rlsmnerup4azDWQWwUs2iXtEgY+bXv/51Ge11WJ8AzdhJpYZO7XGyT7S3msx+MViryU6vmcnJbieoR3NcdJo4Gk6wI/tk+3N2s2yZzExL0V51Goftk3u9VjHoVpPKVON1zM9qUrlXvYZXRkN9DCQcMtITvPXzWDehv8F0qiCS559VAGu472mkx3EvrSqb7Nv33nvvLB+Xc1XaRaai3PXXX1+FtrqtitdErpd6aZ3aq8997nNV2C9tMDtJWO+Pf/xj9XXkkUdWIdi0+ko1olRwGypsXh/DI3Hsb3LcGY/hi7puq/zMahznmiEtEzudf1KRbsMNN+xXOSwBlU4BrBxn6y0KewnDzA7LLbdcOfTQQ6vxuN9++/VdL6Va0Gc/+9mqgtenP/3pnp6z3q51doRfOh0/On1opNPPRuoabzw47bTTBvzsfe9737CeM9c9Z5555qAhw3b1AORIVr7r1EJwsMBljpHZf9tbn06m7QwAwOjQghAAAOYQabnWPqk0WBvCVOppD828+tWvblQJYLBJv16qcHQTGKhP+tXDQ00n+7p93GiGpMYigFVff6O9DvMeRzPEMVS1hEyAZtK6XX2Ss+WMM87od3vbbbcddCK+00T3SBpOBYhOyzacfbL+2G7ee9PX6/S4TuO1k9EMTfRqLMd8u17bio5X9TEwEsGyuvq4Hs5rdBrH3Rzrh3Menp2arJte9+2sr1TkSVj2Ax/4QDnppJOqNpGzCl+lyslw1mOT4GivAa9UukqApVM4vi4VhvLeU/0mrQrz2MGCCp2CK7P72D9RjjtN10unsV9v+TtUC8GEsTqFOzK2s61b0hJ8sAq2Yy0ty48++ugBFYXSfu4LX/hCT8/VqX14e3v02dGCO9ZYY40BP1tllVUGvMebbrqpTAY5ViTYOhp+9KMfNbpm66ZNb7c6PddQ14ip5tsuH9YY7VaYAABMbAJYAAAwh8ikV8JU7dLupO6Xv/xlv9vbbLPNsF63HjQYTvCg08RifTJvOK2T2qXVTzdGclJgdj737NBN6GW032N71apOdthhhwHVy1KxoV1aWdXbUQ5VfWKs39NQOu1/w9kn65UEuqmy0zQA0c3+PxGM5/HB+DiPTVR5H03eSy/rJG3vcl1ywgkn9KtKMphUMEko5OMf/3g599xzy4te9KIynquI5fj43ve+t2oBlopBCc9387oJ7nzmM58pO+64Y9XSshuz+9g/UTRtc9hpfQ4VpHvd617X7//z+FQImlUAPC3FRyNoOlLyvvbee+8BP0+Lwm4DOK0qa/VKU//4xz8GXKONpE7V5zq16sz6r7cAve6660bl/JuKxQmGjWQVqKHkgwijdZ2S7dcp5FZXrxrXzbF+OCH1oaqk1s8ZOT60t18dyXWT4/5IvlcAAMbG5PntGAAA6KoNYfvkR6c2hO0BrLRZ2mSTTYa1ZhdZZJF+t4fzqeFOlQTqk1v1201f79FHH21UKeGFL3xhOfXUU8tE1WkSYjTXYaeKInvttVf50Ic+VGaHtG5K25zWsua95pP/2VfaJz/bJ1bXWWedMn369J7e0yGHHFLe+ta3lrFW3x9b77lpi776PpnKHCO1b83qtSZKO6vxNuYnm/oxuOn4mtU2a6+uNJzX6OY8NlElIJBwRDfHgSb79s0331x22223jhPUWYc5Lqdqzuqrr15VLUlAot7acTy0zex2XO+yyy7VV9bPH/7wh3LRRRdVX7fddtugj0uFoHe+853llFNO6Rck73TcGc71WP2xvW7z8SytHpuoj+O0hByqmlZCPK95zWv6BawSfmkPL2VZ6u1px1v7wU723XffqqXzFVdc0e/nhx9+eNloo42qfbQbr3jFK6rKbi0JBqUi2Mtf/vIRX+ZUNqq3zc7xZLC2qhtvvHHV+rR92dIO9aUvfemILtenPvWpqjVpxkuqtiaUueuuu45aZc+f/vSn/W7nd8ENNtig0XOlWmHGQbscm17wghcM+bh6m9/8rjpYO89edWpdPVRb4Wzn9jEYeU/ZDiPpu9/9bvn5z39ehXCzfvL7984779yorS8AAGNLAAsAAOYg+SNy/sjcmkjOH7QTwsqn1ePvf/97Ve2nJT/PBNJw1Cf97r333sbP1am9UD4h3y7v75prrhn263XbxqseaBmLtoEjKRM8meBon+Buug6Har3TPmmeSeL2Cc/htNjrVV4/Yasf//jH/SZA2wNY9baEs5r87BRymp3vaSidJuEzGbX00kv3/FwJMtQnslJtZlayLlJBoNdjS6dJs+WWW65MNGM95ieb+v6W9TpSE7Xtr9F+/plVq7vhnscmspwDew3jdDrHdNq3P/KRjwwIX6U92AEHHFAFNboJJIxm9ZzRkhBPWs612s6lHd0f//jHKiycYFa9Wk0qqSTk8D//8z+zPPYPJ6zS67F/omi6XurjOOt8VlVZ04awPYCVQE++Wu330iq8/Vrquc997ogHfEZDKqIdeeSR5U1velO/fS7ff/CDH6w+qNDN/pqAWj38kraboxHAyj5TrzKV6nmD2XLLLQcsW6qojuT2ueGGG6rwVSv0+Nvf/rYaH+37doI6qb41EnLsaP8dKhJ6fde73tXo+VIR7GUve1m/343OPvvscuCBBw7Z0jXjvO7222/v2JayV7feeuuA33uGqii32WabDbhm+81vflP233//MlJyTfynP/2pX5AvXxMhbAkAwEBaEAIAwBwkgYdMZrRr/2R9/ig+ku0Ho94+JBNJ9T9+9zIxULfiiiv2u73aaqv1u51PszdpCZJJj24sv/zyA9oATeQWYJksXGWVVfr9rD4ZM9LrsD7Rnions1N9giMT261J/rRKueWWW/r+L59M33bbbYd8vsUXX3xA+KP9OcZSfX8cbL/qRvbjehWU+v7YSSaXmqyPa6+9dkCLspVXXrlMRGM95ieT+jG4l2NPu7/+9a9Vi6yzzjqr2u/vv//+Qcd1030m6q2LElZqEoAcr9orwnSr0zkmFazq26feuiqtwRKeTUu2bqvBdNueb7yP+VRGyXi94IILyhve8IYB98k4bpcxXA8DNW2jlRDNP//5z34/W2GFFcpk0f5BhF7UjwvdhEVSRad+DGtvD16/Ln/jG9847A9GzC7Zh/fbb7+O+3vGbjcSLkrIsl1CaTfddFMZSblur1evzTVG9rPBJGhVr5yUFpLDqSxX16llYyq3jpZ69ato/0BCr3Jcbn3IpyUf/vnZz3425OPq2zxGImSWbVO//qy3kqxLOKsexMvvljknjZTzzjtvQPDzec97XlfX1AAAjD8T4zc2AABgxNT/kJ6JjNanetsnfTIh9KIXvWjYr9epbcVf/vKXRs9Vf1w+YV//I319mRP2qLdA6UaqgXVjww03HDCJU58k7tbpp59eTd5cdtll5b///e+YtUqqr8NM0mbCpBdpkfTAAw80WodZ901CbBnHaeGRT6ZnIrQ9QDGrMdoeOsvzZFK70yT2FltsUQWshpJJu7SibNd0oiYTMieeeGI1OZMAUjdVxYaS9on1cFi9PUy3Ou3Hef5uNNlHUg2gXdqNjWSVo9lprMf8ZLL++usP+FmTY36OvV/4whfKBz7wgbLTTjuVt7/97YOex3J8bhIiTJWL+rFg7bXXnmWVnImkybqv79upCFYPU2eM16WSTi/HgBw/E5Iejy0JU3knodZUuDn55JO7flzOR0cfffSAtrj1VmqLLbbYgFBb02uxjOF6paB11123TBa5dul1/06wI+0f23XTti37fkJV7VrX4gm6pUptu1SUmkje8Y53VEHJum9+85tdh6jaqz219tm05cvxdKR8/vOfHxCASbCzU8C3/Vpvhx126PezVLOsV8VqKufzToGo7bbbroyGXIPkPFg/vw43BNRpzP7whz8c8jEJH9VdeOGFZbjSwrU+bjq9Vl2nIN7Xvva1MlKOP/742badAQAYfQJYAAAwh8nE/zLLLNN3O5V+8kftBCLS1mYkq18NFpJob/fWy4RYWnvU/2hebxuRagKpUtSu0wTGUC6++OK+lh+z8uIXv3jAz0477bTSpOLCxz/+8WpC+a1vfWvVTqlpy4/hqrd2yRhpr5TWjZ///Odd37e+DhP2+uUvf1l6lbDU5z73ubLPPvtUVa0yFr797W939dj6JNq5555bTfLVq0902w5ko402GhBIu+SSS0qTljiHHXZYee9731tN0uZ524OSvcqEYX1SOMGGJq0z6/txApH1YNFIjI/I/lgPim2++eZlohoPY360za5QUSbI6+2K6sHJWcm+3gpdtrSP5U7H+SbnsZxr77zzzgEVXiaTesvWWUnIpH6czfmvPn7Sfqqb8N1QEmStB65mzJhRxlref95LKpS++93vLp/+9Kd7aoOXikibbrrpLFst1sfx3/72twGVrLrRaexPtnGca4Be5PhdX+dp+92NtCFsH+/ZJvlKS7L2lpsZI/Vg4niXa45cw+Tf+ocjEqLq9vqsHu7OdfpXv/rVEVnGrOcEmdvl94iEcbsJh9V/x8lyjUSFrs9+9rPl0Ucf7fezVGIarbBjxnz9gxMj8btg/UMOkfGdbTiYvMf6hx3ye8hw2qbGT37ykwE/y/lmVnJ8rX84Je1fZ1XJq9vjaY7F7VJZ7S1vecuwnxsAgLEhgAUAAHOYTPLU21ckgFEPN41UACuTGPVP8Sbs1WuIJJVJ6hViOrXdWXTRRQe0isgnuntpSfWNb3yjp1ZiaUNSn4DutQ1T3l/9U9n1th2zM4BVb6uST3p3mtDtJBM4CQ5169WvfnVZeOGFB7xe+8RjN5WAvvKVrzRu1ZJwU/sEYapOpCpLKt20LLnkkl1N1LQ+8V+fcPziF784oGrIUO69994Bk4ILLLBA18vQbdgs6+7//u//ep5srleJy3634IILdl2FoJdKOV/60pf67R85jk20SiDjbcyPttnZJqteQebyyy/vqbJbwlftAeRoP48k+LD66qv3+/8c43ppVZbzV6qs1HU6j01kqRxUD1QNJYHBesuuBFLqOlWIa1Xv7Eb2rU77S4IgYy2t6urv74wzzujpOeqtFVNFbFbH/kj1rF4kKFC/XkyFo4kWDJqV733ve1U1o25k/Nar4SRwUg/FDdUauB5eTlizXvGn034xEeSDGO0VBVsSwOnmAxI5l3zyk5+sQt7tjjvuuHLSSScNa9lSzS1tEuvBzP/93/8dEBrqJJXlct/6cek973nPsMJCqRBVD7NmPey7775ltNQ/PJLX23rrrUfkuTtVcxqqClaun+vXMvkdJOHUplULE7RL1ed2ua5PcL0bBxxwwIBg8CGHHDKggmMvch2dEH3d3nvvXbUnBgBgYhLAAgCAOVCnNoTtFY4y0dxtK7Fu5BPi9T9a55Pv3YaiMglR/0N9glaDTUa9853v7Pd6mdj88Ic/3NVkWgIv+VRzL+qTL5nQzYROAjTdyCeo6xVbll566QHbaXbJJNcee+wxYFK9m4mPBIwyUdbLxFNCO7vsssuA10tFsG6rkxx66KEDAhQJuXTbOiVV4TbbbLO+2xkr9UmRTCDVJwAHs8IKKwwI0GWir9vJ7qzHj3zkIwOCCflE/HDb7mVSq95WJy2v6q1nBpNwYcZCp1ZD3UqY6qMf/WhXLfOyXPVJ2qzb4bbFGUvjYcyPtnn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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "\n",
    "print('Training curve')\n",
    "display(Image(filename=str(FIGURES / 'breakhis_patient_history.png')))\n",
    "print('Development comparison figure')\n",
    "display(Image(filename=str(FIGURES / 'breakhis_model_development_comparison.png')))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a2c53c8",
   "metadata": {},
   "source": [
    "## What this run actually shows\n",
    "\n",
    "Two things matter here. First, this is the point where the clean model really does train end to end on the full corrected split rather than on the smaller development subsets I used while iterating. Second, the frozen-feature comparator still scores higher on paper, which was frustrating but important to keep visible. I still treat the clean fine-tuned model as the main image branch because it matches the corrected split and full training setup I actually want to stand behind. The frozen-feature result stays in the notebook as the first cheap attempt, with that caveat attached wherever it appears.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "codex_research_commentary": true
   },
   "source": [
    "## How This Notebook Supports The Dissertation\n",
    "\n",
    "This notebook explains why the final image checkpoint is the one transferred into the web app. It keeps model selection tied to saved evidence instead of treating the checkpoint as a black box.\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (dissertation_dl)",
   "language": "python",
   "name": "dissertation_dl"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
