PET imaging is a valuable tool to diagnose and track patients with multiple myelomas (advanced cancers with metastasis). PET images show lesions as dark regions.
The goal of this project is to develop machine learning tools (e.g. SVMs or random forests) in order to classify lesions and predict the survival time.
- Bibliographic study
- Implement PET scans processing algorithms in Python to predict survival time