Deep learning-based histotype diagnosis of ovarian carcinoma whole-slide pathology images.

Farahani, Hossein; Boschman, Jeffrey; Farnell, David; Darbandsari, Amirali; Zhang, Allen; Ahmadvand, Pouya; Jones, Steven J M; Huntsman, David; Köbel, Martin; Gilks, C Blake; Singh, Naveena; Bashashati, Ali

Farahani, Hossein; Boschman, Jeffrey; Farnell, David; Darbandsari, Amirali; Zhang, Allen; Ahmadvand, Pouya; Jones, Steven J M; Huntsman, David; Köbel, Martin; Gilks, C Blake; Singh, Naveena; Bashashati, Ali.

Afiliação

Farahani H; School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
Boschman J; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.
Farnell D; School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
Darbandsari A; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.
Zhang A; Vancouver General Hospital, Vancouver, BC, Canada.
Ahmadvand P; Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada.
Jones SJM; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.
Huntsman D; Vancouver General Hospital, Vancouver, BC, Canada.
Köbel M; School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
Gilks CB; British Columbia Cancer Research Center, Vancouver, BC, Canada.
Singh N; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.
Bashashati A; British Columbia Cancer Research Center, Vancouver, BC, Canada.

Mod Pathol ; 35(12): 1983-1990, 2022 12.

Article em En | MEDLINE | ID: mdl-36065012

Assuntos

Carcinoma; Aprendizado Profundo; Neoplasias Ovarianas; Humanos; Feminino; Inteligência Artificial; Carcinoma/patologia; Redes Neurais de Computação; Neoplasias Ovarianas/diagnóstico; Carcinoma Epitelial do Ovário

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Carcinoma / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Revista: Mod Pathol Assunto da revista: PATOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá

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