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DMPB-Net: A Mamba-Driven Semi-Supervised Network for Precise Breast Ultrasound Lesion Segmentation

2026-07-23

Abstract excerpt

<title>Abstract</title> <p>Accurate segmentation of breast lesions in ultrasound images is critical for early cancer diagnosis, yet it remains challenging due to speckle noise, acoustic artifacts, and blurred boundaries. In this paper, we propose DMPB-Net, a novel semi-supervised framework designed for precise breast lesion segmentation under limited supervision. The framework utilizes a Mamba-driven encoder to c...

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Literature Corpus work
56385774-6834-5c39-84f4-63703b8047fd
DOI
10.21203/rs.3.rs-10095241/v1
Open publication

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DMPB-Net: A Mamba-Driven Semi-Supervised Network for Precise Breast Ultrasound Lesion SegmentationDOI 10.21203/rs.3.rs-10095241/v1
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