Domain Generalization in Computational Pathology: Survey and Guidelines

no code implementations • 30 Oct 2023 • Mostafa Jahanifar, Manahil Raza, Kesi Xu, Trinh Vuong, Rob Jewsbury, Adam Shephard, Neda Zamanitajeddin, Jin Tae Kwak, Shan E Ahmed Raza, Fayyaz Minhas, Nasir Rajpoot

Deep learning models have exhibited exceptional effectiveness in Computational Pathology (CPath) by tackling intricate tasks across an array of histology image analysis applications.

Benchmarking Domain Generalization

Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images

no code implementations • 19 Feb 2023 • Manahil Raza, Ruqayya Awan, Raja Muhammad Saad Bashir, Talha Qaiser, Nasir M. Rajpoot

The second component is a hard attention classification model, which further extracts a sequence of multi-resolution glimpses from each tile for classification.

Hard Attention whole slide images

Cellular Segmentation and Composition in Routine Histology Images using Deep Learning

no code implementations • 4 Mar 2022 • Muhammad Dawood, Raja Muhammad Saad Bashir, Srijay Deshpande, Manahil Raza, Adam Shephard

For the prediction of cellular composition with ALBRT on the preliminary test set, we achieved an overall $R^2$ score of 0. 53, consisting of 0. 84 for lymphocytes, 0. 70 for epithelial cells, 0. 70 for plasma and . 060 for eosinophils.

Management Nuclear Segmentation +1