🔥Our paper "BioX-CPath: Biologically-driven explainable Diagnostics for Multistain IHC omputational Pathology" was accepted at #CVPR2025!

🚀We'll be releasing the paper and code repo ASAP, stay tuned! #multistain #IHC #pathology #ExplainableAI #GNNs #PrecisionMedicine #Immunolog

(SAAP) module that generates biologically meaningful, stain-aware patient embeddings. Our approach achieves state-of-the-art performance on both Rheumatoid Arthritis and Sjogren's Disease multistain datasets. Beyond performance metrics, BioX-CPath [3/5 of https://arxiv.org/abs/2503.20880v1]

arXiv:2503.20880v1 Announce Type: new
Abstract: The development of biologically interpretable and explainable models remains a key challenge in computational pathology, particularly for multistain immunohistochemistry (IHC) analysis. We present [1/5 of https://arxiv.org/abs/2503.20880v1]

Syed, et al.: BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology https://arxiv.org/abs/2503.20880 https://arxiv.org/pdf/2503.20880 https://arxiv.org/html/2503.20880

Amaya Gallagher-Syed, Henry Senior, Omnia Alwazzan, Elena Pontarini, Michele Bombardieri, Costantino Pitzalis, Myles J. Lewis, Michael R. Barnes, ...
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
https://arxiv.org/abs/2503.20880

🗝️We propose an algorithm that effectively integrates multistain histopathology slides, while providing explainable stain attention and entropy metrics, giving biological insight into model alignment with known pathological mechanisms and patterns, for patients and patient subgroups.