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<h1 style="border-bottom: 2px solid black; font-size: 100px;" align="center"> HDUNet PBS </h1>
_Trained by Margerie Huet Dastarac ._ <br>
_Training date: 06/06/2023 ._
## 1. Task Description
Prediction of the dose distribution with proton therapy beam scanning treatment.
## 2. Model
### 2.1. Architecture
<img width="100%" src="https://cdn-uploads.huggingface.co/production/uploads/65c9dbefd6cbf9dfed67367e/xGGUE5spRY6tar5R4VeKX.png" alt="error while loading image">
_Figure 1: HDUNet PBS architecture_
### 2.2. Input
<ul>
<li> CT</li>
<li> Target volumes contours and prescription</li>
<li> Organs at risks contours</li>
</ul>
### 2.3. Output
<ul>
<li> DOSE</li>
</ul>
### 2.4 Training details
<ul>
<li> Number of epoch: 400 </li>
<li> Loss function: MSE loss </li>
<li> Optimizer: AdamW </li>
<li> Learning Rate: 0.0001 </li>
<li> Dropout: No </li>
<li> Patch size in voxels: (128,128,128) </li>
<li> Data augmentation used:
<ul>
<li> RandCrop</li>
</ul>
</li>
</ul>
## 3. Dataset
<ul>
<li> Location: Oropharynx </li>
<li> Training set size: 57 </li>
<li> Resolution in mm: 3x3x3 </li>
</ul>
## Performance
+ TBD
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