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ZENODO
Dataset . 2023
Data sources: Datacite
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ZENODO
Dataset . 2023
Data sources: Datacite
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ZENODO
Dataset . 2023
Data sources: ZENODO
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Pan-Tumor T-Lymphocyte Detection Dataset

Authors: Wilm, Frauke; Ihling, Christian; Méhes, Gábor; Terracciano, Luigi; Puget, Chloé; Klopfleisch, Robert; Schüffler, Peter; +4 Authors

Pan-Tumor T-Lymphocyte Detection Dataset

Abstract

This is a pan-tumor immunohistochemistry dataset containing 2 mm2-sized regions of interest (ROIs) from 92 whole slide images stained for cluster of differentiation 3 (CD3, antibody clone SP7). The dataset covers four tumor indications: 32 head and neck squamous cell carcinoma (HNSCC) samples 20 non-small cell lung cancer (NSCLC) samples 20 triple-negative breast cancer (TNBC) samples 20 gastric cancer (GC) samples The samples were digitized at a resolution of 0.23 μm/px (40× objective lens) using the NanoZoomer 2.0-HT scanning system (Hamamatsu, Japan). All samples were prepared and digitized at Merck Healthcare KGaA. We provide bounding box annotations for three cell types: CD3+ immune cells, tumor cells, and other cells. For each tumor indication, five ROIs were manually annotated by three pathologists. For these ROIs, we provide all three annotations and the consensus of all raters. All other ROIs have been semi-automatically annotated using commercial image analysis software.

Keywords

tumor-infiltrating lymphocytes, histopathology, transfer learning, multi-rater

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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