Breast Cancer Detection

Breast Cancer Detection is the task of finding signs of breast cancer, like masses, calcifications and architectural distortions, in medical images of the breast, and classifying them as benign or malignant.

The most common imaging method for screening is Mammography, but others include Digital Breast Tomosynthesis (DBT), Ultrasound Imaging and Magnetic Resonance Imaging (MRI). Deep learning models, especially CNN, are widely used to build Computer-Aided Detection (CADe) and Computer-Aided Diagnosis (CADx) systems that assist radiologists.

See Wang, L. (2024) - Mammography with Deep Learning for Breast Cancer Detection and the CBIS-DDSM Mammography Dataset.