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sofieneb/conch_v15_features

CONCH v1.5 Patch Features for TCGA and CPTAC Pre-extracted patch-level embeddings from the CONCH v1.5 pathology foundation model for 11,760 whole-slide images (WSIs): 9,838 from TCGA (32 projects) and 1,922 from CPTAC (9 cohorts). Features were extracted with TRIDENT. They are meant for weakly supervised slide-level tasks, such as multiple-instance learning (MIL) for classification, survival or biomarker prediction, without having to download or process the raw WSIs. These… See the full description on the dataset page: https://huggingface.co/datasets/sofieneb/conch_v15_features.

Author / organizationsofieneb
License (as declared)cc-by-nc-nd-4.0
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Created30 September 2026
Last updated at source15 October 2026
histopathologycomputational-pathologywhole-slide-imagesfoundation-model-featuresconchtcgacptactrident
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