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| Main Authors: | , , |
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| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15040985 |
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Table of Contents:
- <p>Dataset Information</p> <p>1. Contains a zip file that needs to be extracted.</p> <p>2. Contains 5 .ndpi files which are H&E images for corresponding patients.</p> <p>3. Contains 5 .geojson file for their corresponding annotations done by pathologists.</p> <p>4. Contains 5 qptiff files that are the mFISH images for corresponding H&E images.</p> <p>Demographic</p> <p>Included in the paper. Please consider citing the paper <strong>"</strong><span><strong>A novel spatial framework for gene expression profiling in bladder cancer using multiplex FISH and AI-powered digital pathology"</strong> </span>if you find this dataset useful.</p>