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papersTODAY 04:00 UTC

ProtoCAM: Few-Shot Prototypical Learning for Breast Lesion Classification in Ultrasound

Researchers propose ProtoCAM, a method that combines prototypical networks with mask guidance to classify breast lesions in ultrasound images using only a small number of labeled examples. The approach is designed to be interpretable, addressing the difficulty of building reliable deep learning models for ultrasound analysis, especially in patients with dense breast tissue. The work is published as an arXiv preprint.

arXiv ProtoCAM prototypical networks breast ultrasound few-shot learning medical imaging

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arXiv cs.AIProtoCAM: Interpretable Few-Shot Mask-Guided Prototypical Learning for Breast Lesion Classification in Ultrasound Imaging ↗TODAY 04:00 UTC