Improving cellular nuclei detection in histological images by combining super-resolution techniques and deep learning-based object detectors.
- DOI
- 10.1007/s11517-026-03604-1
- Published
- 2026 Sep
- Container
- Medical & biological engineering & computing
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s11517-026-03604-1,
title = {Improving cellular nuclei detection in histological images by combining super-resolution techniques and deep learning-based object detectors.},
author = {Díaz-Gaxiola E and García-Aguilar I and Yee-Rendón A and Vega-López IF and López-Rubio E and Luque-Baena RM},
year = {2026},
journal = {Medical \& biological engineering \& computing},
doi = {10.1007/s11517-026-03604-1},
url = {https://doi.org/10.1007/s11517-026-03604-1}
}RIS
TY - JOUR TI - Improving cellular nuclei detection in histological images by combining super-resolution techniques and deep learning-based object detectors. AU - Díaz-Gaxiola E AU - García-Aguilar I AU - Yee-Rendón A AU - Vega-López IF AU - López-Rubio E AU - Luque-Baena RM PY - 2026 JO - Medical & biological engineering & computing DO - 10.1007/s11517-026-03604-1 UR - https://doi.org/10.1007/s11517-026-03604-1 ER -
APA
E, D., I, G., A, Y., IF, V., E, L., & RM, L. (2026). Improving cellular nuclei detection in histological images by combining super-resolution techniques and deep learning-based object detectors.. Medical & biological engineering & computing. https://doi.org/10.1007/s11517-026-03604-1
Source records
- pubmed · retrieved 2026-11-10T14:53:21.182Z
- europe-pmc · retrieved 2026-11-10T14:53:21.190Z