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. |
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| 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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| ISSN: | 1526-9914 |
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| DOI: | 10.1002/acm2.14397 |
