Deep learning-based classification of benign and malignant breast microcalcifications in mammography

Abstract The classification of malignant versus benign microcalcifications in mammograms remains a critical yet challenging task in breast cancer screening. Deep learning models, particularly convolutional neural networks, have demonstrated promising results; however, few studies have systematically...

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Hlavní autor:	Wei-Chung Shia
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-11-01
Edice:	Scientific Reports
Témata:	Computer-aided diagnosis Mammography Deep residual network Grad-CAM Feature interpretability Transfer learning
On-line přístup:	https://doi.org/10.1038/s41598-025-27149-9
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