Breast cancer prognosis through the use of multi-modal classifiers: current state of the art and the way forward
Archana Mathur, Nikhilanand Arya, Kitsuchart Pasupa, Sriparna Saha, Sriparna Saha, Sudeepa Roy Dey, Snehanshu Saha, Snehanshu Saha · Briefings in Functional Genomics · 2024
We present a survey of the current state-of-the-art in breast cancer detection and prognosis. We analyze the evolution of Artificial Intelligence-based approaches from using just uni-modal information to multi-modality for detection and how such paradigm shift facilitates the efficacy of detection, consistent with clinical observations. We conclude that interpretable AI-based predictions and ability to handle class imbalance should be considered priority.