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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...

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Bibliographic Details
Main Author: Aliyari, Shahram (Author)
Format: Database Research Data
Language:English
Published: Heidelberg Universität 2025-12-17
DOI:10.11588/DATA/ZBS9RS
Subjects:
Forschungsdaten
Datenbank
Online Access: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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Author Notes:Shahram Aliyari
Description
Summary: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.
Item Description:Gesehen am 04.12.2025
Physical Description:Online Resource
DOI:10.11588/DATA/ZBS9RS

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