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Breast cancer prognosis through the use of multi-modal classifiers: current state of the art and the way forward
Author(s)
Date Issued
September 1, 2024
Type
Review
Abstract
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.
Citation
Briefings in Functional Genomics, 23(5), 561-569, 2024