Amalgamation of cloud-based colonoscopy videos with patient-level metadata to facilitate large-scale machine learning.

Keswani, Rajesh N; Byrd, Daniel; Garcia Vicente, Florencia; Heller, J Alex; Klug, Matthew; Mazumder, Nikhilesh R; Wood, Jordan; Yang, Anthony D; Etemadi, Mozziyar

Keswani, Rajesh N; Byrd, Daniel; Garcia Vicente, Florencia; Heller, J Alex; Klug, Matthew; Mazumder, Nikhilesh R; Wood, Jordan; Yang, Anthony D; Etemadi, Mozziyar.

Afiliación

Keswani RN; Digestive Health Center, Northwestern Medicine, Chicago, Illinois, United States.
Byrd D; Department of Anesthesiology, Northwestern Medicine, Chicago, Illinois, United States.
Garcia Vicente F; Department of Anesthesiology, Northwestern Medicine, Chicago, Illinois, United States.
Heller JA; Department of Anesthesiology, Northwestern Medicine, Chicago, Illinois, United States.
Klug M; Department of Anesthesiology, Northwestern Medicine, Chicago, Illinois, United States.
Mazumder NR; Digestive Health Center, Northwestern Medicine, Chicago, Illinois, United States.
Wood J; Digestive Health Center, Northwestern Medicine, Chicago, Illinois, United States.
Yang AD; Surgical Outcomes and Quality Improvement Center, Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States.
Etemadi M; Department of Anesthesiology, Northwestern Medicine, Chicago, Illinois, United States.

Endosc Int Open ; 9(2): E233-E238, 2021 Feb.

Article en En | MEDLINE | ID: mdl-33553586

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Endosc Int Open Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania

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