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README.md
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<h1 style="border-bottom: 2px solid black; font-size: 100px;" align="center"> HDUNet PBS </h1>
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_Trained by Margerie Huet Dastarac ._ <br>
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_Training date: 06/06/2023 ._
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## 1. Task Description
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Prediction of the dose distribution with proton therapy beam scanning treatment.
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## 2. Model
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### 2.1. Architecture
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<img width="100%" src=" images/architecture.png " alt="alternatetext">
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_Figure 1: HDUNet PBS architecture_
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### 2.2. Input
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<ul>
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<li> CT</li>
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<li> Target volumes contours and prescription</li>
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<li> Organs at risks contours</li>
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</ul>
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### 2.3. Output
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<ul>
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<li> DOSE</li>
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</ul>
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### 2.4 Training details
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<ul>
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<li> Number of epoch: 400 </li>
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<li> Loss function: MSE loss </li>
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<li> Optimizer: AdamW </li>
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<li> Learning Rate: 0.0001 </li>
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<li> Dropout: No </li>
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<li> Patch size in voxels: (128,128,128) </li>
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<li> Data augmentation used:
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<ul>
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<li> RandCrop</li>
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</ul>
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</li>
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</ul>
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## 3. Dataset
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<ul>
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<li> Location: Oropharynx </li>
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<li> Training set size: 57 </li>
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<li> Resolution in mm: 3x3x3 </li>
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</ul>
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## Performance
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+ TBD
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images/architecture.png
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