High-accuracy instance segmentation of cellular structures in head and neck squamous cell carcinoma histopathology using a cyto R-CNN deep learning framework
- DOI
- 10.1016/j.prp.2026.156459
- Published
- 2026-06
- Container
- Pathology - Research and Practice
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.prp.2026.156459,
title = {High-accuracy instance segmentation of cellular structures in head and neck squamous cell carcinoma histopathology using a cyto R-CNN deep learning framework},
author = {Rong Zeng and Yuling Zhou and Qinghui Wu and Ting Pan and Fang Fang and Pan Gao and Qing-hua Yin and Erdong Shen},
year = {2026},
journal = {Pathology - Research and Practice},
doi = {10.1016/j.prp.2026.156459},
url = {https://doi.org/10.1016/j.prp.2026.156459}
}RIS
TY - JOUR TI - High-accuracy instance segmentation of cellular structures in head and neck squamous cell carcinoma histopathology using a cyto R-CNN deep learning framework AU - Rong Zeng AU - Yuling Zhou AU - Qinghui Wu AU - Ting Pan AU - Fang Fang AU - Pan Gao AU - Qing-hua Yin AU - Erdong Shen PY - 2026 JO - Pathology - Research and Practice DO - 10.1016/j.prp.2026.156459 UR - https://doi.org/10.1016/j.prp.2026.156459 ER -
APA
Zeng, R., Zhou, Y., Wu, Q., Pan, T., Fang, F., Gao, P., Yin, Q., & Shen, E. (2026). High-accuracy instance segmentation of cellular structures in head and neck squamous cell carcinoma histopathology using a cyto R-CNN deep learning framework. Pathology - Research and Practice. https://doi.org/10.1016/j.prp.2026.156459
Source records
- crossref · retrieved 2026-09-25T01:11:04.427Z