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cs.CV2025
BI-RADS prediction of mammographic masses using uncertainty information extracted from a Bayesian Deep Learning model
Mohaddeseh Chegini, Ali Mahloojifar
The BI_RADS score is a probabilistic reporting tool used by radiologists to express the level of uncertainty in predicting breast cancer based on some morphological features in mam…
cs.CV2024★ 1 cited
Reliable Breast Cancer Molecular Subtype Prediction based on uncertainty-aware Bayesian Deep Learning by Mammography
Mohaddeseh Chegini, Ali Mahloojifar
Breast cancer is a heterogeneous disease with different molecular subtypes, clinical behavior, treatment responses as well as survival outcomes. The development of a reliable, accu…