Biological insights and novel biomarker discovery through deep learning approaches in breast cancer histopathology
D Mandair, JS Reis-Filho, A Ashworth - NPJ breast cancer, 2023 - nature.com
Breast cancer remains a highly prevalent disease with considerable inter-and intra-tumoral
heterogeneity complicating prognostication and treatment decisions. The utilization and …
heterogeneity complicating prognostication and treatment decisions. The utilization and …
Histopathology in focus: a review on explainable multi-modal approaches for breast cancer diagnosis
Precision and timeliness in breast cancer detection are paramount for improving patient
outcomes. Traditional diagnostic methods have predominantly relied on unimodal …
outcomes. Traditional diagnostic methods have predominantly relied on unimodal …
Slideflow: deep learning for digital histopathology with real-time whole-slide visualization
Deep learning methods have emerged as powerful tools for analyzing histopathological
images, but current methods are often specialized for specific domains and software …
images, but current methods are often specialized for specific domains and software …