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Weiyi Qin

W8Yi
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reacted to their post with šŸš€ about 11 hours ago
I built a **TCGA WSI feature dataset using UNI2-h**. The official release currently has incomplete coverage (see discussion): https://huggingface.co/datasets/MahmoodLab/UNI2-h-features/discussions/2#681b5ed184d0a008fca99297 To make the features easier to use for research, I generated a new dataset: https://huggingface.co/datasets/W8Yi/tcga-wsi-uni2h-features Key differences from the official release: ā€¢ **All detected tissue tiles are encoded** (not a sampled subset) ā€¢ **Features can be downloaded per slide** instead of large ZIP archives ā€¢ **QC overlay images** are provided for visual inspection ā€¢ **UNI2-h 1536-D tile embeddings** stored in H5 format ā€¢ Organized by TCGA project for easier use in MIL / retrieval pipelines Example layout: ``` TCGA-HNSC/ features/*.h5 vis/*__overlay.png ``` Hope this helps others working on computational pathology and TCGA WSI research.
updated a dataset about 16 hours ago
W8Yi/tcga-wsi-uni2h-features
posted an update 1 day ago
I built a **TCGA WSI feature dataset using UNI2-h**. The official release currently has incomplete coverage (see discussion): https://huggingface.co/datasets/MahmoodLab/UNI2-h-features/discussions/2#681b5ed184d0a008fca99297 To make the features easier to use for research, I generated a new dataset: https://huggingface.co/datasets/W8Yi/tcga-wsi-uni2h-features Key differences from the official release: ā€¢ **All detected tissue tiles are encoded** (not a sampled subset) ā€¢ **Features can be downloaded per slide** instead of large ZIP archives ā€¢ **QC overlay images** are provided for visual inspection ā€¢ **UNI2-h 1536-D tile embeddings** stored in H5 format ā€¢ Organized by TCGA project for easier use in MIL / retrieval pipelines Example layout: ``` TCGA-HNSC/ features/*.h5 vis/*__overlay.png ``` Hope this helps others working on computational pathology and TCGA WSI research.
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