Boosted Additive Angular Margin Loss for breast cancer diagnosis from histopathological images
P Alirezazadeh, F Dornaika - Computers in Biology and Medicine, 2023 - Elsevier
Pathologists use biopsies and microscopic examination to accurately diagnose breast
cancer. This process is time-consuming, labor-intensive, and costly. Convolutional neural …
cancer. This process is time-consuming, labor-intensive, and costly. Convolutional neural …
[HTML][HTML] CaMeL-Net: centroid-aware metric learning for efficient multi-class cancer classification in pathology images
J Lee, C Han, K Kim, GH Park, JT Kwak - Computer Methods and Programs …, 2023 - Elsevier
Background and objective Cancer grading in pathology image analysis is a major task due
to its importance in patient care, treatment, and management. The recent developments in …
to its importance in patient care, treatment, and management. The recent developments in …
[HTML][HTML] DAX-Net: A dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images
Abstract Background and Objective Multi-class cancer classification has been extensively
studied in digital and computational pathology due to its importance in clinical decision …
studied in digital and computational pathology due to its importance in clinical decision …