1.
Brief Funct Genomics
; 2024 Apr 30.
Artículo
en Inglés
| MEDLINE
| ID: mdl-38688724
RESUMEN
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.