<h1 style="border-bottom: 2px solid black; font-size: 100px;" align="center"> HDUNet </h1> 

_Trained by Margerie Huet Dastarac ._ <br> 
_Training date: 05/05/2023 ._ 

## 1. Task Description 
Dose prediction 

## 2. Model 
### 2.1. Architecture 

![image/png]( https://cdn-uploads.huggingface.co/production/uploads/65c9dbefd6cbf9dfed67367e/7X1GxxIT2LlpPBdR_tCzt.png )

_Figure 1: HDUNet architecture_ 
### 2.2. Input 
<ul>
<li> CT</li>
<li> Target volumes</li>
<li> Organ at risks masks</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>
<li> RandSpatialCropd</li>
<li> NormalizedIntensityd</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