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A novel approach for automatic segmentation of prostate and its lesion regions on magnetic resonance imaging.
Ren, Huipeng; Ren, Chengjuan; Guo, Ziyu; Zhang, Guangnan; Luo, Xiaohui; Ren, Zhuanqin; Tian, Hongzhe; Li, Wei; Yuan, Hao; Hao, Lele; Wang, Jiacheng; Zhang, Ming.
Affiliation
  • Ren H; Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Ren C; Department of Medical Imaging, Baoji Central Hospital, Baoji, China.
  • Guo Z; Department of Language Intelligence, Sichuan International Studies University, Chongqing, China.
  • Zhang G; Department of Computer Science & Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  • Luo X; Department of Computer Science, Baoji University of Arts and Sciences, Baoji, China.
  • Ren Z; Department of Urology, Baoji Central Hospital, Baoji, China.
  • Tian H; Department of Medical Imaging, Baoji Central Hospital, Baoji, China.
  • Li W; Department of Medical Imaging, Baoji Central Hospital, Baoji, China.
  • Yuan H; Department of Medical Imaging, Baoji Central Hospital, Baoji, China.
  • Hao L; Department of Computer Science, Baoji University of Arts and Sciences, Baoji, China.
  • Wang J; Department of Computer Science, Baoji University of Arts and Sciences, Baoji, China.
  • Zhang M; Department of Computer Science, Baoji University of Arts and Sciences, Baoji, China.
Front Oncol ; 13: 1095353, 2023.
Article in En | MEDLINE | ID: mdl-37152013
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Front Oncol Year: 2023 Document type: Article Affiliation country: China Country of publication: Switzerland
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Front Oncol Year: 2023 Document type: Article Affiliation country: China Country of publication: Switzerland