A novel hybrid deep learning and chaotic dynamics approach for thyroid cancer classification
- DOI
- 10.1038/s41598-025-24334-8
- Published
- 2025-11-18
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-24334-8,
title = {A novel hybrid deep learning and chaotic dynamics approach for thyroid cancer classification},
author = {Nada Bouchekout and Abdelkrim Boukabou and Morad Grimes and Yassine Habchi and Yassine Himeur and Hamzah Ali Alkhazaleh and Shadi Atalla and Wathiq Mansoor},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-24334-8},
url = {https://doi.org/10.1038/s41598-025-24334-8}
}RIS
TY - JOUR TI - A novel hybrid deep learning and chaotic dynamics approach for thyroid cancer classification AU - Nada Bouchekout AU - Abdelkrim Boukabou AU - Morad Grimes AU - Yassine Habchi AU - Yassine Himeur AU - Hamzah Ali Alkhazaleh AU - Shadi Atalla AU - Wathiq Mansoor PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-24334-8 UR - https://doi.org/10.1038/s41598-025-24334-8 ER -
APA
Bouchekout, N., Boukabou, A., Grimes, M., Habchi, Y., Himeur, Y., Alkhazaleh, H. A., Atalla, S., & Mansoor, W. (2025). A novel hybrid deep learning and chaotic dynamics approach for thyroid cancer classification. Scientific Reports. https://doi.org/10.1038/s41598-025-24334-8
Source records
- crossref · retrieved 2026-09-26T00:54:09.084Z