3 citations · 5 across the 4 of their papers we have counts for
4 papers
An Aggregation of Aggregation Methods in Computational Pathology
Mohsin Bilal, Robert Jewsbury, Ruoyu Wang +4
Image analysis and machine learning algorithms operating on multi-gigapixel whole-slide images (WSIs) often process a large number of tiles (sub-images) and require aggregating pre…
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images
Imaad Zaffar, Guillaume Jaume, Nasir Rajpoot +1
Multiple Instance Learning (MIL) is a widely employed framework for learning on gigapixel whole-slide images (WSIs) from WSI-level annotations. In most MIL based analytical pipelin…
Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images
Made Satria Wibawa, Kwok-Wai Lo, Lawrence Young +1
Histology images with multi-gigapixel of resolution yield rich information for cancer diagnosis and prognosis. Most of the time, only slide-level label is available because pixel-w…
Deep Learning based Prediction of MSI using MMR Markers in Colorectal Cancer
Ruqayya Awan, Mohammed Nimir, Shan E Ahmed Raza +5
The accurate diagnosis and molecular profiling of colorectal cancers are critical for planning the best treatment options for patients. Microsatellite instability (MSI) or mismatch…