Machine learning in renal pathology.

Basso, Matthew Nicholas; Barua, Moumita; Meyer, Julien; John, Rohan; Khademi, April

Basso, Matthew Nicholas; Barua, Moumita; Meyer, Julien; John, Rohan; Khademi, April.

Afiliación

Basso MN; Image Analysis in Medicine Lab (IAMLAB), Department of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, Canada.
Barua M; Division of Nephrology, University Health Network, Toronto, ON, Canada.
Meyer J; Toronto General Hospital Research Institute, Toronto General Hospital, Toronto, ON, Canada.
John R; Department of Medicine, University of Toronto, Toronto, ON, Canada.
Khademi A; Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada.

Front Nephrol ; 2: 1007002, 2022.

Article en En | MEDLINE | ID: mdl-37675000

Palabras clave

computational pathology; deep learning; digital image analysis; glomerulus; machine learning; membranous nephropathy; minimal change disease; thin-basement membrane nephropathy

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