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Anterior mediastinal nodular lesion segmentation from chest computed tomography imaging using UNet based neural network with attention mechanisms.

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Title: Anterior mediastinal nodular lesion segmentation from chest computed tomography imaging using UNet based neural network with attention mechanisms.
Authors: Wang, Yi1, Jeong, Won Gi2, Zhang, Hao3, Choi, Younhee1, Jin, Gong Yong4, Ko, Seok-Bum1, seokbum.ko@usask.ca
Source: Multimedia Tools & Applications; May2024, Vol. 83 Issue 15, p45969-45987, 19p
Database: Applied Science & Technology Source
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  Data: Anterior mediastinal nodular lesion segmentation from chest computed tomography imaging using UNet based neural network with attention mechanisms.
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; May2024, Vol. 83 Issue 15, p45969-45987, 19p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177013370
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        Value: 10.1007/s11042-023-17210-y
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      – Code: eng
        Text: English
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      – TitleFull: Anterior mediastinal nodular lesion segmentation from chest computed tomography imaging using UNet based neural network with attention mechanisms.
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            NameFull: Wang, Yi
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            NameFull: Jeong, Won Gi
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            NameFull: Zhang, Hao
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            – D: 01
              M: 05
              Text: May2024
              Type: published
              Y: 2024
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