M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector
Deep-learning-based object detection methods show promise for improving screening
mammography, but high rates of false positives can hinder their effectiveness in clinical …
mammography, but high rates of false positives can hinder their effectiveness in clinical …
Robustness of Deep Networks for Mammography: Replication Across Public Datasets
OM Velarde, C Lin, S Eskreis-Winkler… - Journal of Imaging …, 2024 - Springer
Deep neural networks have demonstrated promising performance in screening
mammography with recent studies reporting performance at or above the level of trained …
mammography with recent studies reporting performance at or above the level of trained …
Problems and shortcuts in deep learning for screening mammography
This work reveals undiscovered challenges in the performance and generalizability of deep
learning models. We (1) identify spurious shortcuts and evaluation issues that can inflate …
learning models. We (1) identify spurious shortcuts and evaluation issues that can inflate …