3 papers
cs.MM2026
CellPrior-Net: Prior-Guided Nuclei Detection and Classification for H&E Whole-Slide Images
Falah Jabar, Pasquale Lombardi, Aria Torkpour +10
Accurate nuclei detection and classification in hematoxylin and eosin (H and E) whole-slide images (WSIs) is a key task in computational pathology, particularly for quantitative an…
cs.MM2024
Fully Automatic Content-Aware Tiling Pipeline for Pathology Whole Slide Images
Falah Jabar, Lill-Tove Rasmussen Busund, Biagio Ricciuti +6
In recent years, the use of deep learning (DL) methods, including convolutional neural networks (CNNs) and vision transformers (ViTs), has significantly advanced computational path…
eess.IV2024
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
Masoud Tafavvoghi, Anders Sildnes, Mehrdad Rakaee +4
Classifying breast cancer molecular subtypes is crucial for tailoring treatment strategies. While immunohistochemistry (IHC) and gene expression profiling are standard methods for…