Intelligent detection for Polycystic Ovary Syndrome (PCOS): Taxonomy, datasets and detection tools
- DOI
- 10.1016/j.csbj.2025.04.011
- Published
- 2025-01-01
- Container
- Computational and Structural Biotechnology Journal
- Publisher
- American Association for the Advancement of Science (AAAS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.csbj.2025.04.011,
title = {Intelligent detection for Polycystic Ovary Syndrome (PCOS): Taxonomy, datasets and detection tools},
author = {Meng Li and Zanxiang He and Liyun Shi and Mengyuan Lin and Minge Li and Yanjun Cheng and Hongwei Liu and Lei Xue and Kabir Sulaiman Said and Murtala Yusuf and Hadiza Shehu Galadanci and Liming Nie},
year = {2025},
journal = {Computational and Structural Biotechnology Journal},
doi = {10.1016/j.csbj.2025.04.011},
url = {https://doi.org/10.1016/j.csbj.2025.04.011}
}RIS
TY - JOUR TI - Intelligent detection for Polycystic Ovary Syndrome (PCOS): Taxonomy, datasets and detection tools AU - Meng Li AU - Zanxiang He AU - Liyun Shi AU - Mengyuan Lin AU - Minge Li AU - Yanjun Cheng AU - Hongwei Liu AU - Lei Xue AU - Kabir Sulaiman Said AU - Murtala Yusuf AU - Hadiza Shehu Galadanci AU - Liming Nie PY - 2025 JO - Computational and Structural Biotechnology Journal DO - 10.1016/j.csbj.2025.04.011 UR - https://doi.org/10.1016/j.csbj.2025.04.011 ER -
APA
Li, M., He, Z., Shi, L., Lin, M., Li, M., Cheng, Y., Liu, H., Xue, L., Said, K. S., Yusuf, M., Galadanci, H. S., & Nie, L. (2025). Intelligent detection for Polycystic Ovary Syndrome (PCOS): Taxonomy, datasets and detection tools. Computational and Structural Biotechnology Journal. https://doi.org/10.1016/j.csbj.2025.04.011
Source records
- crossref · retrieved 2026-09-27T11:55:41.037Z