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SPMFE-UNet: shape perception and multi-scale features enhancement UNet for robust abdominal organ and skin lesion segmentation.

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Title: SPMFE-UNet: shape perception and multi-scale features enhancement UNet for robust abdominal organ and skin lesion segmentation.
Authors: Bao J; School of Information Science and Engineering, Yunnan University, Kunming, People's Republic of China., Zhang X; School of Information Science and Engineering, Yunnan University, Kunming, People's Republic of China., Wang X; School of Information Science and Engineering, Yunnan University, Kunming, People's Republic of China., Shen T; Department of Colorectal Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China., Wang S; School of Information Science and Engineering, Yunnan University, Kunming, People's Republic of China.
Source: Biomedical physics & engineering express [Biomed Phys Eng Express] 2026 May 06; Vol. 12 (3). Date of Electronic Publication: 2026 May 06.
Publication Type: Journal Article
Journal Info: Publisher: IOP Publishing Ltd Country of Publication: England NLM ID: 101675002 Publication Model: Electronic Cited Medium: Internet ISSN: 2057-1976 (Electronic) Linking ISSN: 20571976 NLM ISO Abbreviation: Biomed Phys Eng Express Subsets: MEDLINE
Database: MEDLINE Ultimate
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DbLabel: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: SPMFE-UNet: shape perception and multi-scale features enhancement UNet for robust abdominal organ and skin lesion segmentation.
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  Data: <searchLink fieldCode="AU" term="%22Bao+J%22">Bao J</searchLink>; School of Information Science and Engineering, Yunnan University, Kunming, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; School of Information Science and Engineering, Yunnan University, Kunming, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Wang+X%22">Wang X</searchLink>; School of Information Science and Engineering, Yunnan University, Kunming, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Shen+T%22">Shen T</searchLink>; Department of Colorectal Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Wang+S%22">Wang S</searchLink>; School of Information Science and Engineering, Yunnan University, Kunming, People's Republic of China.
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  Data: <searchLink fieldCode="JN" term="%22101675002%22">Biomedical physics & engineering express</searchLink> [Biomed Phys Eng Express] 2026 May 06; Vol. 12 (3). <i>Date of Electronic Publication: </i>2026 May 06.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IOP+Publishing+Ltd%22">IOP Publishing Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101675002 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2057-1976 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220571976%22">20571976 </searchLink><i>NLM ISO Abbreviation: </i>Biomed Phys Eng Express <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1088/2057-1976/ae63d7
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      – Code: eng
        Text: English
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      – TitleFull: SPMFE-UNet: shape perception and multi-scale features enhancement UNet for robust abdominal organ and skin lesion segmentation.
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            NameFull: Bao J
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            NameFull: Zhang X
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            NameFull: Wang X
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            NameFull: Shen T
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            – D: 06
              M: 05
              Text: 2026 May 06
              Type: published
              Y: 2026
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              Value: 2057-1976
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              Value: 12
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