OpenTME provides pre-computed tumor microenvironment profiles from 3,634 H&E-stained whole-slide images across five cancer types (bladder, breast, colorectal, liver, and lung) from TCGA
Uses Atlas H&E-TME, an AI-powered pathology application, to perform tissue quality control, segmentation, cell detection/classification, and spatial analysis with 4,500+ quantitative readouts per slide
Dataset available for non-commercial academic research on Hugging Face with plans for future expansion
Enables large-scale, consistent quantitative characterization of tumor microenvironments, which are critical for understanding cancer progression and treatment response
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