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Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images.
Bi, Lei; Kim, Jinman; Su, Tingwei; Fulham, Michael; Feng, David Dagan; Ning, Guang.
Affiliation
  • Bi L; School of Computer Science, University of Sydney, NSW, Australia. Electronic address: lei.bi@sydney.edu.au.
  • Kim J; School of Computer Science, University of Sydney, NSW, Australia. Electronic address: jinman.kim@sydney.edu.au.
  • Su T; Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Fulham M; School of Computer Science, University of Sydney, NSW, Australia; Department of Molecular Imaging, Royal Prince Alfred Hospital, NSW, Australia; Sydney Medical School, University of Sydney, NSW, Australia.
  • Feng DD; School of Computer Science, University of Sydney, NSW, Australia; Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China.
  • Ning G; Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Artif Intell Med ; 132: 102374, 2022 10.
Article in En | MEDLINE | ID: mdl-36207084
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tomography, X-Ray Computed / Neural Networks, Computer Type of study: Risk_factors_studies Limits: Humans Language: En Journal: Artif Intell Med Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Country of publication: Países Bajos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tomography, X-Ray Computed / Neural Networks, Computer Type of study: Risk_factors_studies Limits: Humans Language: En Journal: Artif Intell Med Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Country of publication: Países Bajos