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Dual branch segment anything model-transformer fusion network for accurate breast ultrasound image segmentation.

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第一作者： Yu,Li

第一单位： The Institute of Technological Sciences, Wuhan University, Wuhan, China.

作者： Yu,Li ^[1] ; Jin,Huang ^[1] ; Yimin,Zhang ^[2] ; Jingwen,Deng ^[2] ; Jingwen,Zhang ^[2] ; Lan,Dong ^[3] ; Du,Wang ^[1] ; Liye,Mei ^[4] ; Cheng,Lei ^[5]

作者单位： The Institute of Technological Sciences, Wuhan University, Wuhan, China. ^[1] The Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, China. ^[2] The Department of Gynecology, Renmin Hospital of Wuhan University, Wuhan, China. ^[3] The Institute of Technological Sciences, Wuhan University, Wuhan, China.;School of Computer Science, Hubei University of Technology, Wuhan, China. ^[4] The Institute of Technological Sciences, Wuhan University, Wuhan, China.;Suzhou Institute of Wuhan University, Suzhou, China.;Shenzhen Institute of Wuhan University, Shenzhen, China. ^[5]

关键词 BUSI‐WHU dataset dual‐branch network multi‐level feature fusion segment anything model ultrasound image segmentation

医学主题词人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);乳腺肿瘤(Breast Neoplasms);超声检查, 乳房(Ultrasonography, Mammary);乳房(Breast);女(雌)性(Female)

DOI 10.1002/mp.17751

PMID 40103542

发布时间 2025-06-10

基金项目