MDHT-Net: Multi-scale Deformable U-Net with Cos-spatial and Channel Hybrid Transformer for pancreas segmentation.

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Title: MDHT-Net: Multi-scale Deformable U-Net with Cos-spatial and Channel Hybrid Transformer for pancreas segmentation.
Authors: Wang, HuiFang1, Yang, DaWei2,3, Zhu, Yu1, zhuyu@ecust.edu.cn, Liu, YaTong1, Lin, JiaJun1
Source: Applied Intelligence; Dec2024, Vol. 54 Issue 23, p12272-12292, 21p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180005717
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: MDHT-Net: Multi-scale Deformable U-Net with Cos-spatial and Channel Hybrid Transformer for pancreas segmentation.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Intelligence%22">Applied Intelligence</searchLink>; Dec2024, Vol. 54 Issue 23, p12272-12292, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180005717
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      – Type: doi
        Value: 10.1007/s10489-024-05780-9
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      – Code: eng
        Text: English
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      – TitleFull: MDHT-Net: Multi-scale Deformable U-Net with Cos-spatial and Channel Hybrid Transformer for pancreas segmentation.
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            NameFull: Wang, HuiFang
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            NameFull: Yang, DaWei
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            NameFull: Zhu, Yu
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            NameFull: Liu, YaTong
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            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
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