Published October 17, 2023
| Version v2
Dataset
Open
ESQmodel: Supporting Datasets
Authors/Creators
- 1. Department of Molecular Oncology, BC Cancer Agency, Vancouver, BC, Canada; Graduate Bioinformatics Training Program, University of British Columbia, Vancouver, BC, Canada
- 2. Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, British Columbia, Canada
- 3. Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, British Columbia, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- 4. Department of Molecular Oncology, BC Cancer Agency, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- 5. Department of Molecular Oncology, BC Cancer Agency, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada; Department of Computer Science, University of British Columbia, Vancouver, British Columbia, Canada
Description
All in-house generated data introduced in the publication "ESQmodel: biologically informed evaluation of 2-D cell segmentation quality in multiplexed tissue images" are deposited here. Simulated and real datasets are included. Code to run ESQmodel can be found at https://github.com/Roth-Lab/ESQmodel.
Files
lee_et_al_esqmodel_supplementary_data.zip
Files
(404.1 MB)
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