Made by : Matthieu Bachelot
- Master thesis project
- Use deep learning methods on MRI volumes
- Detect tumors on MRI slice using semantic segmentation
- Test several architectures
- Test several data modeling / data generation methods
- Select the best
- Auto Encoder / PSPnet / UNet / SegNet
- Kepp their architectures intact
- Test metric / loss / optimizers
- Statistical study on test data
- PSPNet was the best overall
- Training using Mini batch generation / One hot Vector representation / Data Augmentation
- Lot of result variation between patients
- Heterogeneous dataset
- time limits