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. |
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| 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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| ISSN: | 1878-7401 |
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| DOI: | 10.3233/THC-230931 |
