<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