Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images

Abstract Computational pathology is a rapidly expanding area for research due to the current global transformation of histopathology through the adoption of digital workflows. Survival prediction of breast cancer patients is an important task that currently depends on histopathology assessment of ca...

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Автори: Piumi Sandarenu, Ewan K. A. Millar, Yang Song, Lois Browne, Julia Beretov, Jodi Lynch, Peter H. Graham, Jitendra Jonnagaddala, Nicholas Hawkins, Junzhou Huang, Erik Meijering
Формат: Стаття
Мова:English
Опубліковано: Nature Portfolio 2022-08-01
Серія:Scientific Reports
Онлайн доступ:https://doi.org/10.1038/s41598-022-18647-1