Independent assessment of a deep learning system for lymph node metastasis detection on the Augmented Reality Microscope.

Jin, David; Rosenthal, Joseph H; Thompson, Elaine E; Dunnmon, Jared; Mohtashamian, Arash; Ward, Daniel; Austin, Ryan; Tetteh, Hassan; Olson, Niels H

Jin, David; Rosenthal, Joseph H; Thompson, Elaine E; Dunnmon, Jared; Mohtashamian, Arash; Ward, Daniel; Austin, Ryan; Tetteh, Hassan; Olson, Niels H.

Afiliação

Jin D; The MITRE Corporation, 7525 Colshire Dr, McLean, VA, USA.
Rosenthal JH; The Henry M. Jackson Foundation for the Advancement of Military Medicine, 6720A Rockledge Dr, Bethesda, MD, USA.
Thompson EE; The Henry M. Jackson Foundation for the Advancement of Military Medicine, 6720A Rockledge Dr, Bethesda, MD, USA.
Dunnmon J; Defense Innovation Unit, 230 RT Jones Rd, Mountain View, CA, USA.
Mohtashamian A; Naval Hospital Camp Pendleton, 200 Mercy Cir, Oceanside, CA, USA.
Ward D; Naval Medical Center San Diego, 34800 Bob Wilson Dr, San Diego, CA, USA.
Austin R; Naval Hospital Camp Pendleton, 200 Mercy Cir, Oceanside, CA, USA.
Tetteh H; DoD Chief Digital and AI Office, 5615 Columbia Pike, Falls Church, VA 22041, USA.
Olson NH; Defense Innovation Unit, 230 RT Jones Rd, Mountain View, CA, USA.

J Pathol Inform ; 13: 100142, 2022.

Article em En | MEDLINE | ID: mdl-36605116

Palavras-chave

Breast cancer metastasis; Machine learning; Medical imaging

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Pathol Inform Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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