Learning Representations for Medical Image Diagnosis: Impact of Curriculum Training


This talk presents research work on the implementation of curriculum learning as a data scheduler for medical image diagnosis. In particular, for the application of proximal femur fractures classification, and breast cancer classification in a federated setting.

Invited by Dr. Shadi Albarqouni.