WSI-Babel-Shark: empty whole-slide images for slide-label metadata extraction
This dataset contains 22 whole-slide image (WSI) files in SVS format, digitized using a Leica GT450 scanner. All WSIs were intentionally scanned without tissue; only the physical slide labels are present. The purpose of this dataset is to support the evaluation and benchmarking of the WSI-Babel-Shar...
Gespeichert in:
| 1. Verfasser: | |
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| Dokumenttyp: | Datenbank Forschungsdaten |
| Sprache: | Englisch |
| Veröffentlicht: |
Heidelberg
Universität
2025-12-17
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| DOI: | 10.11588/DATA/ZBS9RS |
| Schlagworte: | |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.11588/DATA/ZBS9RS Verlag, kostenfrei, Volltext: https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/DATA/ZBS9RS 
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| Verfasserangaben: | Shahram Aliyari |
MARC
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| 520 | |a This dataset contains 22 whole-slide image (WSI) files in SVS format, digitized using a Leica GT450 scanner. All WSIs were intentionally scanned without tissue; only the physical slide labels are present. The purpose of this dataset is to support the evaluation and benchmarking of the WSI-Babel-Shark metadata-extraction pipeline. Empty slides allow reduced file sizes, preservation of SVS metadata, and controlled conditions for benchmarking label-processing components, including OCR, DataMatrix decoding, stain parsing, SlideID reconstruction, and metadata harmonization. All WSIs retain full TIFF tiling, SVS headers, and Leica metadata. Files were manually inspected to ensure complete de-identification, and all CaseIDs and SlideIDs represent synthetic test cases. A ground-truth CSV file containing validated metadata fields is included for benchmarking. No patient-identifying information is contained in any file. | ||
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