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FelicieGS/STHELAR_20x

STHELAR dataset (20x) STHELAR (Spatial Transcriptomics and H&E histology for Large-scale Annotation Resource) is a multi-tissue dataset designed for developing models capable of predicting cell types directly from histological Hematoxylin & Eosin (H&E) whole slide images. It integrates high-resolution spatial transcriptomics data with histology, to provide detailed segmentation masks and cell-type annotations. Available dataset versions STHELAR_40x — 587,555… See the full description on the dataset page: https://huggingface.co/datasets/FelicieGS/STHELAR_20x.

Author / organizationFelicieGS
License (as declared)cc-by-4.0
Downloads699 (as reported by Hugging Face)
Likes4
Created16 July 2025
Last updated at source2 April 2026
H&EWholeSlideImagesCellTypeAnnotationSegmentationSpatialTranscriptomicsCancerXenium
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699 now (-1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

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  • 16 Oct 2026 Description: STHELAR dataset (20x) STHELAR (Spatial Transcriptomics and H&E histology for Large-scale Annotation Resource) is a multi-tissue dataset designed for developing models capable of predicting cell types directly from histological Hematoxylin & → STHELAR dataset (20x) STHELAR (Spatial Transcriptomics and H&E histology for Large-scale Annotation Resource) is a multi-tissue dataset designed for developing models capable of predicting cell types directly from histological Hematoxylin &

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.