digital-pathology-data

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Library for Digital Pathology Image Processing

Disentangled representation learning model for digital pathology data as a custom similarity metric for deformable image registration.

Whole-slide lung cancer subtyping (LUAD vs LUSC) using GigaPath embeddings and multiple-instance learning, with external CPTAC validation.

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