المؤلفون: Li X; Duke University Medical Center, United States of America., Ge Y; University of North Carolina at Charlotte, United States of America., Wu Q; Duke University Medical Center, United States of America., Wang C; Duke University Medical Center, United States of America., Sheng Y; Duke University Medical Center, United States of America., Wang W; Duke University Medical Center, United States of America., Stephens H; Duke University Medical Center, United States of America., Yin FF; Duke University Medical Center, United States of America., Wu QJ; Duke University Medical Center, United States of America.

المصدر: Physics in medicine and biology [Phys Med Biol] 2022 Oct 21; Vol. 67 (21). Date of Electronic Publication: 2022 Oct 21.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: IOP Publishing Country of Publication: England NLM ID: 0401220 Publication Model: Electronic Cited Medium: Internet ISSN: 1361-6560 (Electronic) Linking ISSN: 00319155 NLM ISO Abbreviation: Phys Med Biol Subsets: MEDLINE

مواضيع طبية MeSH: Radiotherapy, Intensity-Modulated*/methods , Deep Learning*, Humans ; Radiotherapy Planning, Computer-Assisted/methods ; Radiotherapy Dosage

المؤلفون: Gao W; Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai, 200032, China., Wang W; Department of Radiology, Cancer center, Zhongshan Hospital, Fudan University, China.; Shanghai Institute of Medical Imaging, Shanghai, China., Song D; Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.; Department of Interventional Radiology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China., Wang K; Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai, 200032, China., Lian D; Department of Radiology, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, China., Yang C; Department of Radiology, Cancer center, Zhongshan Hospital, Fudan University, China., Zhu K; Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China., Zheng J; Department of Interventional Radiology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China., Zeng M; Department of Radiology, Cancer center, Zhongshan Hospital, Fudan University, China.; Shanghai Institute of Medical Imaging, Shanghai, China., Rao SX; Department of Radiology, Cancer center, Zhongshan Hospital, Fudan University, China.; Shanghai Institute of Medical Imaging, Shanghai, China., Wang M; Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai, 200032, China.

المصدر: Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2022 Oct; Vol. 56 (4), pp. 1029-1039. Date of Electronic Publication: 2022 Feb 22.

نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't

بيانات الدورية: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9105850 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2586 (Electronic) Linking ISSN: 10531807 NLM ISO Abbreviation: J Magn Reson Imaging Subsets: MEDLINE

مواضيع طبية MeSH: Bile Duct Neoplasms*/diagnostic imaging , Bile Duct Neoplasms*/surgery , Cholangiocarcinoma*/diagnostic imaging , Cholangiocarcinoma*/surgery , Deep Learning*, Bile Ducts, Intrahepatic ; Female ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Retrospective Studies ; Sensitivity and Specificity

المؤلفون: Song D; Department of Liver Surgery, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China., Wang Y; Digital Medical Research Center, School of Basic Medical Science, Fudan University, Shanghai, 200032, People's Republic of China.; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Digital Medical Research Center, Fudan University, 200032, Shanghai, People's Republic of China., Wang W; Department of Radiology, Zhongshan Hospital, Fudan University, 200032, Shanghai, People's Republic of China., Wang Y; Department of Liver Surgery, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China., Cai J; Department of Liver Surgery, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China., Zhu K; Department of Liver Surgery, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China., Lv M; Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, 200032, China., Gao Q; Department of Liver Surgery, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.; Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032,, People's Republic of China., Zhou J; Department of Liver Surgery, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.; Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032,, People's Republic of China., Fan J; Department of Liver Surgery, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.; Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032,, People's Republic of China., Rao S; Department of Radiology, Zhongshan Hospital, Fudan University, 200032, Shanghai, People's Republic of China. raoxray@163.com., Wang M; Digital Medical Research Center, School of Basic Medical Science, Fudan University, Shanghai, 200032, People's Republic of China. mnwang@fudan.edu.cn.; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Digital Medical Research Center, Fudan University, 200032, Shanghai, People's Republic of China. mnwang@fudan.edu.cn., Wang X; Department of Liver Surgery, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China. xiaoyingwang@fudan.edu.cn.

المصدر: Journal of cancer research and clinical oncology [J Cancer Res Clin Oncol] 2021 Dec; Vol. 147 (12), pp. 3757-3767. Date of Electronic Publication: 2021 Apr 10.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 7902060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1335 (Electronic) Linking ISSN: 01715216 NLM ISO Abbreviation: J Cancer Res Clin Oncol Subsets: MEDLINE

مواضيع طبية MeSH: Deep Learning*, Carcinoma, Hepatocellular/*diagnostic imaging , Liver Neoplasms/*diagnostic imaging , Neoplasm Invasiveness/*diagnostic imaging, Adult ; Aged ; Carcinoma, Hepatocellular/pathology ; Female ; Humans ; Liver Neoplasms/pathology ; Magnetic Resonance Imaging/methods ; Male ; Middle Aged ; Neoplasm Grading/methods ; Neoplasm Invasiveness/pathology ; Retrospective Studies

المؤلفون: Wang, Zhenye, Ye, Chengxu, Wang, Wentao

المصدر: 2019 4th International Conference on Computational Intelligence and Applications (ICCIA) ICCIA Computational Intelligence and Applications (ICCIA), 2019 4th International Conference on. :30-35 Jun, 2019

Relation: 2019 4th International Conference on Computational Intelligence and Applications (ICCIA)

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المؤلفون: Gao, Wenyu^{Aff1, Aff2}, Wang, Wentao^{Aff3, Aff4}, Song, Danjun^{Aff5, Aff6}, Yang, Chun, Zhu, Kai, Zeng, Mengsu^{Aff3, Aff4}, Rao, Sheng-xiang^{Aff3, Aff4, IDs11547021014456_cor7}, Wang, Manning^{Aff1, Aff2, IDs11547021014456_cor8}

المصدر: La radiologia medica: Official Journal of the Italian Society of Medical and Interventional Radiology. 127(3):259-271

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