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Virtual Spectral Decomposition with Dendritic Tile Selection: An Explainable AI Framework for Multimodal Tissue Composition Analysis and Immune Phenotyping Across Pancreatic, Lung, and Breast Cancer

2026-04-13

Abstract excerpt

<h4>Background</h4> Current deep learning models in computational pathology, radiology, and digital pathology produce opaque predictions that lack the explainable artificial intelligence (xAI) capabilities required for clinical adoption. Despite achieving radiologist-level performance in tasks from whole-slide image (WSI) classification to mammographic screening, these models function as black boxes: clinicians c...

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Literature Corpus work
7a8a88fa-f318-513b-8c5b-3daca9358e5f
DOI
10.64898/2026.04.11.26350689
Open publication

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