Search Results for author: Kashif Rajpoot

Found 2 papers, 1 papers with code

Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images

1 code implementation14 Feb 2022 Quoc Dang Vu, Kashif Rajpoot, Shan E Ahmed Raza, Nasir Rajpoot

Based on our experiments involving various datasets consisting of a total of 5, 306 WSIs, the results demonstrate that H2T based holistic WSI-level representations offer competitive performance compared to recent state-of-the-art methods and can be readily utilized for various downstream analysis tasks.

Decision Making whole slide images

Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits

no code implementations17 Dec 2021 Amina Asif, Kashif Rajpoot, David Snead, Fayyaz Minhas, Nasir Rajpoot

Computational Pathology (CPath) is an emerging field concerned with the study of tissue pathology via computational algorithms for the processing and analysis of digitized high-resolution images of tissue slides.

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