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Segmentation and classification of thyroid follicular neoplasm using cascaded convolutional neural network.
Yang, Bailin; Yan, Meiying; Yan, Zaoming; Zhu, Changrui; Xu, Dong; Dong, Fangfang.
Affiliation
  • Yang B; School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, People's Republic of China.
  • Yan M; Bailin Yang and Meiying Yan are co-first authors.
  • Yan Z; Department of Ultrasound, Institute of Cancer Research and Basic Medical Sciences of Chinese Academy of Sciences, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China.
  • Zhu C; Bailin Yang and Meiying Yan are co-first authors.
  • Xu D; School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, People's Republic of China.
  • Dong F; School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, People's Republic of China.
Phys Med Biol ; 65(24): 245040, 2020 12 22.
Article in En | MEDLINE | ID: mdl-33137800
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Thyroid Neoplasms / Neural Networks, Computer Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Phys Med Biol Year: 2020 Document type: Article Country of publication: United kingdom
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Thyroid Neoplasms / Neural Networks, Computer Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Phys Med Biol Year: 2020 Document type: Article Country of publication: United kingdom