Cancer Net

Cancer-Net is a global open-source initiative focused on developing and sharing datasets of synthetic correlated diffusion (CDI^s) imaging data for various cancers, primarily prostate and breast cancer. Research leverages these datasets to train deep learning models for improved cancer diagnosis, grading (e.g., SBR grade for breast cancer), and treatment planning, aiming to enhance clinical decision support. The initiative's emphasis on large, diverse, publicly available datasets addresses a critical limitation in medical image analysis, facilitating more robust and generalizable AI models for cancer care.