Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma.
- DOI
- 10.1371/journal.pcbi.1013907
- Published
- 2026 Jan
- Container
- PLoS computational biology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pcbi.1013907,
title = {Histo-Miner: Deep learning based tissue features extraction pipeline from H\&E whole slide images of cutaneous squamous cell carcinoma.},
author = {Sancéré L and Lorenz C and Helbig D and Persa OD and Dengler S and Kreuter A and Laimer M and Lang R and Fröhlich A and Landsberg J and Brägelmann J and Bozek K},
year = {2026},
journal = {PLoS computational biology},
doi = {10.1371/journal.pcbi.1013907},
url = {https://doi.org/10.1371/journal.pcbi.1013907}
}RIS
TY - JOUR TI - Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma. AU - Sancéré L AU - Lorenz C AU - Helbig D AU - Persa OD AU - Dengler S AU - Kreuter A AU - Laimer M AU - Lang R AU - Fröhlich A AU - Landsberg J AU - Brägelmann J AU - Bozek K PY - 2026 JO - PLoS computational biology DO - 10.1371/journal.pcbi.1013907 UR - https://doi.org/10.1371/journal.pcbi.1013907 ER -
APA
L, S., C, L., D, H., OD, P., S, D., A, K., M, L., R, L., A, F., J, L., J, B., & K, B. (2026). Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1013907
Source records
- pubmed · retrieved 2026-09-25T14:33:58.029Z