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Generative Inpainting-Based Anomaly Detection for CT Liver Tumor Detection.

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Title: Generative Inpainting-Based Anomaly Detection for CT Liver Tumor Detection.
Authors: Shi Y; Biomedical Imaging Center, Department of Biomedical Engineering, School of Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180 USA., Niu C; Biomedical Imaging Center, Department of Biomedical Engineering, School of Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180 USA., Simpson AL; Biomedical Computing and Informatics, Queen's University, ON K7L 3N6, Canada., De Man B; GE HealthCare Technology & Innovation Center, Niskayuna, NY 12309 USA., Do R; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065 USA., Wang G; Biomedical Imaging Center, Department of Biomedical Engineering, School of Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180 USA.
Source: IEEE transactions on radiation and plasma medical sciences [IEEE Trans Radiat Plasma Med Sci] 2025 Nov; Vol. 9 (8), pp. 1051-1061. Date of Electronic Publication: 2025 Mar 17.
Publication Type: Journal Article
Journal Info: Publisher: IEEE Country of Publication: United States NLM ID: 101705223 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2469-7311 (Print) Linking ISSN: 24697303 NLM ISO Abbreviation: IEEE Trans Radiat Plasma Med Sci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Generative Inpainting-Based Anomaly Detection for CT Liver Tumor Detection.
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  Data: <searchLink fieldCode="AU" term="%22Shi+Y%22">Shi Y</searchLink>; Biomedical Imaging Center, Department of Biomedical Engineering, School of Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180 USA.<br /><searchLink fieldCode="AU" term="%22Niu+C%22">Niu C</searchLink>; Biomedical Imaging Center, Department of Biomedical Engineering, School of Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180 USA.<br /><searchLink fieldCode="AU" term="%22Simpson+AL%22">Simpson AL</searchLink>; Biomedical Computing and Informatics, Queen's University, ON K7L 3N6, Canada.<br /><searchLink fieldCode="AU" term="%22De+Man+B%22">De Man B</searchLink>; GE HealthCare Technology & Innovation Center, Niskayuna, NY 12309 USA.<br /><searchLink fieldCode="AU" term="%22Do+R%22">Do R</searchLink>; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065 USA.<br /><searchLink fieldCode="AU" term="%22Wang+G%22">Wang G</searchLink>; Biomedical Imaging Center, Department of Biomedical Engineering, School of Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180 USA.
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  Data: <searchLink fieldCode="JN" term="%22101705223%22">IEEE transactions on radiation and plasma medical sciences</searchLink> [IEEE Trans Radiat Plasma Med Sci] 2025 Nov; Vol. 9 (8), pp. 1051-1061. <i>Date of Electronic Publication: </i>2025 Mar 17.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IEEE%22">IEEE </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101705223 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2469-7311 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2224697303%22">24697303 </searchLink><i>NLM ISO Abbreviation: </i>IEEE Trans Radiat Plasma Med Sci <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1109/trpms.2025.3551946
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              Text: 2025 Nov
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