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.