piNET-An Automated Proliferation Index Calculator Framework for Ki67 Breast Cancer Images.

Geread, Rokshana Stephny; Sivanandarajah, Abishika; Brouwer, Emily Rita; Wood, Geoffrey A; Androutsos, Dimitrios; Faragalla, Hala; Khademi, April

Geread, Rokshana Stephny; Sivanandarajah, Abishika; Brouwer, Emily Rita; Wood, Geoffrey A; Androutsos, Dimitrios; Faragalla, Hala; Khademi, April.

Afiliación

Geread RS; Electrical, Computer and Biomedical Engineering Department, Ryerson University, Toronto, ON M5B 2K3, Canada.
Sivanandarajah A; Electrical, Computer and Biomedical Engineering Department, Ryerson University, Toronto, ON M5B 2K3, Canada.
Brouwer ER; Department of Pathobiology, Ontario Veterinarian College, University of Guelph, Guelph, ON NIG 2W1, Canada.
Wood GA; Department of Pathobiology, Ontario Veterinarian College, University of Guelph, Guelph, ON NIG 2W1, Canada.
Androutsos D; Electrical, Computer and Biomedical Engineering Department, Ryerson University, Toronto, ON M5B 2K3, Canada.
Faragalla H; Department of Laboratory Medicine & Pathobiology, St. Michael's Hospital, Unity Health Network, Toronto, ON M5B 1W8, Canada.
Khademi A; Electrical, Computer and Biomedical Engineering Department, Ryerson University, Toronto, ON M5B 2K3, Canada.

Cancers (Basel) ; 13(1)2020 Dec 22.

Article en En | MEDLINE | ID: mdl-33375043

Palabras clave

Ki67; breast cancer; deep learning; digital pathology; hematoxylin; proliferation index

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cancers (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Canadá

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