FT-FEDTL: A fine-tuned feature-extracted deep transfer learning model for multi-class microwave-based brain tumor classification
- DOI
- 10.1016/j.compbiomed.2024.109316
- Published
- 2024-12
- 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.2024.109316,
title = {FT-FEDTL: A fine-tuned feature-extracted deep transfer learning model for multi-class microwave-based brain tumor classification},
author = {Amran Hossain and Rafiqul Islam and Mohammad Tariqul Islam and Phumin Kirawanich and Mohamed S. Soliman},
year = {2024},
journal = {Computers in Biology and Medicine},
doi = {10.1016/j.compbiomed.2024.109316},
url = {https://doi.org/10.1016/j.compbiomed.2024.109316}
}RIS
TY - JOUR TI - FT-FEDTL: A fine-tuned feature-extracted deep transfer learning model for multi-class microwave-based brain tumor classification AU - Amran Hossain AU - Rafiqul Islam AU - Mohammad Tariqul Islam AU - Phumin Kirawanich AU - Mohamed S. Soliman PY - 2024 JO - Computers in Biology and Medicine DO - 10.1016/j.compbiomed.2024.109316 UR - https://doi.org/10.1016/j.compbiomed.2024.109316 ER -
APA
Hossain, A., Islam, R., Islam, M. T., Kirawanich, P., & Soliman, M. S. (2024). FT-FEDTL: A fine-tuned feature-extracted deep transfer learning model for multi-class microwave-based brain tumor classification. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2024.109316
Source records
- crossref · retrieved 2026-09-26T05:04:14.320Z