Analysing DCE-MRI scans using hybrid techniques for early detection of prostate cancer based on fusion features of handcrafted and deep learning features
- DOI
- 10.1080/03091902.2026.2627179
- Published
- 2026-02-17
- Container
- Journal of Medical Engineering & Technology
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/03091902.2026.2627179,
title = {Analysing DCE-MRI scans using hybrid techniques for early detection of prostate cancer based on fusion features of handcrafted and deep learning features},
author = {Ali M. Hasan and Wallaa L. Alfalluji and Mohammed A. Hamdawi and Hamid A. Jalab and Rabha W. Ibrahim and Farid Meziane},
year = {2026},
journal = {Journal of Medical Engineering \& Technology},
doi = {10.1080/03091902.2026.2627179},
url = {https://doi.org/10.1080/03091902.2026.2627179}
}RIS
TY - JOUR TI - Analysing DCE-MRI scans using hybrid techniques for early detection of prostate cancer based on fusion features of handcrafted and deep learning features AU - Ali M. Hasan AU - Wallaa L. Alfalluji AU - Mohammed A. Hamdawi AU - Hamid A. Jalab AU - Rabha W. Ibrahim AU - Farid Meziane PY - 2026 JO - Journal of Medical Engineering & Technology DO - 10.1080/03091902.2026.2627179 UR - https://doi.org/10.1080/03091902.2026.2627179 ER -
APA
Hasan, A. M., Alfalluji, W. L., Hamdawi, M. A., Jalab, H. A., Ibrahim, R. W., & Meziane, F. (2026). Analysing DCE-MRI scans using hybrid techniques for early detection of prostate cancer based on fusion features of handcrafted and deep learning features. Journal of Medical Engineering & Technology. https://doi.org/10.1080/03091902.2026.2627179
Source records
- crossref · retrieved 2026-09-26T05:02:16.413Z