Multi-Modal Self-Supervised Contrastive Learning for a Foundational Model for Brachytherapy
This project uses a multi-modal method to train a foundational model for medical images of cervical cancer patients. Multiple imaging modalities are used over the course of treatment: multiparametric MRI, CT, cone-beam CT, and PET when indicated. This motivat...
Poster Program · Diagnostic and Interventional Radiology Physics