Weakly supervised annotation‐free cancer detection and prediction of genotype in routine histopathology
Abstract
Deep learning is a powerful tool in computational pathology: it can be used for tumor detection and for predicting genetic alterations based on histopathology images alone. Conventionally, tumor detection and prediction of genetic alterations are two separate workflows. Newer methods have combined them, but require complex, manually engineered computational pipelines, restricting reproducibility and robustness. To address these issues, we...
Paper Details
Title
Weakly supervised annotation‐free cancer detection and prediction of genotype in routine histopathology
Published Date
Oct 22, 2021
Journal
Volume
256
Issue
1
Pages
50 - 60
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