Multilayer perceptron deep learning radiomics model based on Gd-BOPTA MRI to identify vessels encapsulating tumor clusters in hepatocellular carcinoma: a multi-center study.
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| Title: | Multilayer perceptron deep learning radiomics model based on Gd-BOPTA MRI to identify vessels encapsulating tumor clusters in hepatocellular carcinoma: a multi-center study. |
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| Authors: | Gu M; Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China., Zou W; Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China., Chen H; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China., He R; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China., Zhao X; Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China., Jia N; Department of Radiology, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai, China., Liu W; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Wang P; Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China. peijunwangtjyy@163.com. |
| Source: | Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Imaging] 2025 Jul 07; Vol. 25 (1), pp. 87. Date of Electronic Publication: 2025 Jul 07. |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Springer Nature Country of Publication: England NLM ID: 101172931 Publication Model: Electronic Cited Medium: Internet ISSN: 1470-7330 (Electronic) Linking ISSN: 14707330 NLM ISO Abbreviation: Cancer Imaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1470-7330 |
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| DOI: | 10.1186/s40644-025-00895-9 |
