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Enhancing liver tumor segmentation with UNet-ResNet: Leveraging ResNet's power.

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Title: Enhancing liver tumor segmentation with UNet-ResNet: Leveraging ResNet's power.
Authors: Sheela KS; Department of Artificial Intelligence and Data Science, KGISL Institute of Technology, Coimbatore, India., Justus V; Department of Computing Technologies, SRM Institute of Science and Technology, Chennai, India., Asaad RR; Department of Computer Science, Nawroz University, Duhok, Iraq., Kumar RL; Department of Artificial Intelligence and Machine Learning, Tagore Institute of Engineering and Technology, Salem, India.
Source: Technology and health care : official journal of the European Society for Engineering and Medicine [Technol Health Care] 2025; Vol. 33 (1), pp. 1-15.
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Country of Publication: United States NLM ID: 9314590 Publication Model: Print Cited Medium: Internet ISSN: 1878-7401 (Electronic) Linking ISSN: 09287329 NLM ISO Abbreviation: Technol Health Care Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Enhancing liver tumor segmentation with UNet-ResNet: Leveraging ResNet's power.
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  Data: <searchLink fieldCode="AU" term="%22Sheela+KS%22">Sheela KS</searchLink>; Department of Artificial Intelligence and Data Science, KGISL Institute of Technology, Coimbatore, India.<br /><searchLink fieldCode="AU" term="%22Justus+V%22">Justus V</searchLink>; Department of Computing Technologies, SRM Institute of Science and Technology, Chennai, India.<br /><searchLink fieldCode="AU" term="%22Asaad+RR%22">Asaad RR</searchLink>; Department of Computer Science, Nawroz University, Duhok, Iraq.<br /><searchLink fieldCode="AU" term="%22Kumar+RL%22">Kumar RL</searchLink>; Department of Artificial Intelligence and Machine Learning, Tagore Institute of Engineering and Technology, Salem, India.
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  Data: <searchLink fieldCode="JN" term="%229314590%22">Technology and health care : official journal of the European Society for Engineering and Medicine</searchLink> [Technol Health Care] 2025; Vol. 33 (1), pp. 1-15.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications%22">SAGE Publications </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9314590 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1878-7401 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209287329%22">09287329 </searchLink><i>NLM ISO Abbreviation: </i>Technol Health Care <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.3233/THC-230931
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      – Code: eng
        Text: English
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    Titles:
      – TitleFull: Enhancing liver tumor segmentation with UNet-ResNet: Leveraging ResNet's power.
        Type: main
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            NameFull: Sheela KS
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            NameFull: Justus V
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            NameFull: Asaad RR
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            NameFull: Kumar RL
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            – D: 01
              M: 01
              Text: 2025
              Type: published
              Y: 2025
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              Value: 33
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            – TitleFull: Technology and health care : official journal of the European Society for Engineering and Medicine
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