Article

DIANNE: Segmentation-Free Localization of Histology Differential Attributes

2026-05-01

Abstract excerpt

Pathologist-guided distinctions within histology and spatial omic images provide insights into health and disease, with digital pathology leveraging artificial intelligence to automate such assessments. To train computational models, current digital pathology methods rely on upfront manual annotations, which are time-consuming to generate. Pre-annotation is poorly suited to investigating novel spatial behaviors—a...

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Literature Corpus work: aa4d4e5d-c63f-53fe-a489-6ee3de319226
DOI: 10.64898/2026.04.28.721103

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