Deep learning approaches for predicting Ki-67 index in breast cancer histopathology images: A systematic review
- DOI
- 10.1016/j.compbiomed.2026.111678
- Published
- 2026-07
- Container
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiomed.2026.111678,
title = {Deep learning approaches for predicting Ki-67 index in breast cancer histopathology images: A systematic review},
author = {Harold Brayan Arteaga-Arteaga and Kenner Adolfo Oyola-Martinez and Rolando de la Cruz and Mario Alejandro Bravo-Ortíz and Pablo Guillen-Rondon and Reinel Tabares-Soto},
year = {2026},
journal = {Computers in Biology and Medicine},
doi = {10.1016/j.compbiomed.2026.111678},
url = {https://doi.org/10.1016/j.compbiomed.2026.111678}
}RIS
TY - JOUR TI - Deep learning approaches for predicting Ki-67 index in breast cancer histopathology images: A systematic review AU - Harold Brayan Arteaga-Arteaga AU - Kenner Adolfo Oyola-Martinez AU - Rolando de la Cruz AU - Mario Alejandro Bravo-Ortíz AU - Pablo Guillen-Rondon AU - Reinel Tabares-Soto PY - 2026 JO - Computers in Biology and Medicine DO - 10.1016/j.compbiomed.2026.111678 UR - https://doi.org/10.1016/j.compbiomed.2026.111678 ER -
APA
Arteaga-Arteaga, H. B., Oyola-Martinez, K. A., Cruz, R. D. L., Bravo-Ortíz, M. A., Guillen-Rondon, P., & Tabares-Soto, R. (2026). Deep learning approaches for predicting Ki-67 index in breast cancer histopathology images: A systematic review. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2026.111678
Source records
- crossref · retrieved 2026-09-26T18:54:01.496Z