region:us
<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 
