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ResTrans‐Unet: A Residual‐Aware Transformer‐Based Approach to Medical Image Segmentation.

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Title: ResTrans‐Unet: A Residual‐Aware Transformer‐Based Approach to Medical Image Segmentation.
Authors: Ma, Fengying1, Wang, Zhi1, Ji, Peng1, Fu, Chengcai2, 230011@sdjtu.edu.cn, Wang, Feng3
Source: International Journal of Imaging Systems & Technology; Jul2024, Vol. 34 Issue 4, p1-14, 14p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 178737919
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PubType: Academic Journal
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  Data: ResTrans‐Unet: A Residual‐Aware Transformer‐Based Approach to Medical Image Segmentation.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Imaging+Systems+%26+Technology%22">International Journal of Imaging Systems & Technology</searchLink>; Jul2024, Vol. 34 Issue 4, p1-14, 14p
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      – Type: doi
        Value: 10.1002/ima.23122
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 14
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      – TitleFull: ResTrans‐Unet: A Residual‐Aware Transformer‐Based Approach to Medical Image Segmentation.
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            NameFull: Ma, Fengying
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            NameFull: Wang, Zhi
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            NameFull: Ji, Peng
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            NameFull: Fu, Chengcai
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            – D: 01
              M: 07
              Text: Jul2024
              Type: published
              Y: 2024
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              Value: 34
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              Value: 4
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            – TitleFull: International Journal of Imaging Systems & Technology
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