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Automated segmentation of liver and hepatic vessels on portal venous phase computed tomography images using a deep learning algorithm.

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Title: Automated segmentation of liver and hepatic vessels on portal venous phase computed tomography images using a deep learning algorithm.
Authors: Li S; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China., Li XG; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China., Zhou F; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China., Zhang Y; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China., Bie Z; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China., Cheng L; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China., Peng J; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China., Li B; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China.
Source: Journal of applied clinical medical physics [J Appl Clin Med Phys] 2024 Aug; Vol. 25 (8), pp. e14397. Date of Electronic Publication: 2024 May 21.
Publication Type: Journal Article
Journal Info: Publisher: Wiley on behalf of American Association of Physicists in Medicine Country of Publication: United States NLM ID: 101089176 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1526-9914 (Electronic) Linking ISSN: 15269914 NLM ISO Abbreviation: J Appl Clin Med Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Li+S%22">Li S</searchLink>; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Li+XG%22">Li XG</searchLink>; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Zhou+F%22">Zhou F</searchLink>; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Bie+Z%22">Bie Z</searchLink>; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Cheng+L%22">Cheng L</searchLink>; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Peng+J%22">Peng J</searchLink>; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Li+B%22">Li B</searchLink>; Minimally Invasive Tumor Therapy Center, Beijing Hospital, Peking Union Medical College, Beijing, China.
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        Value: 10.1002/acm2.14397
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        StartPage: e14397
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      – TitleFull: Automated segmentation of liver and hepatic vessels on portal venous phase computed tomography images using a deep learning algorithm.
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            – D: 01
              M: 08
              Text: 2024 Aug
              Type: published
              Y: 2024
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