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A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer.
Ho, Cowan; Zhao, Zitong; Chen, Xiu Fen; Sauer, Jan; Saraf, Sahil Ajit; Jialdasani, Rajasa; Taghipour, Kaveh; Sathe, Aneesh; Khor, Li-Yan; Lim, Kiat-Hon; Leow, Wei-Qiang.
Afiliação
  • Ho C; Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore.
  • Zhao Z; Department of Anatomical Pathology, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore.
  • Chen XF; Department of Anatomical Pathology, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore.
  • Sauer J; Qritive Pte. Ltd., Singapore, Singapore.
  • Saraf SA; Qritive Pte. Ltd., Singapore, Singapore.
  • Jialdasani R; Qritive Pte. Ltd., Singapore, Singapore.
  • Taghipour K; Qritive Pte. Ltd., Singapore, Singapore.
  • Sathe A; Qritive Pte. Ltd., Singapore, Singapore.
  • Khor LY; Department of Anatomical Pathology, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore.
  • Lim KH; Duke-NUS Medical School, Singapore, Singapore.
  • Leow WQ; Department of Anatomical Pathology, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore.
Sci Rep ; 12(1): 2222, 2022 02 09.
Article em En | MEDLINE | ID: mdl-35140318
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Patologia Clínica / Interpretação de Imagem Assistida por Computador / Neoplasias Colorretais / Programas de Rastreamento Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Singapura
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Patologia Clínica / Interpretação de Imagem Assistida por Computador / Neoplasias Colorretais / Programas de Rastreamento Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Singapura