A Hybrid Learning-Architecture for Improved Brain Tumor Recognition

Jose Dixon, Oluwatunmise Akinniyi, Abeer Abdelhamid, Gehad A. Saleh, Md Mahmudur Rahman, Fahmi Khalifa

Open source

DOI: 10.3390/a17060221
Published: 05
Container: Algorithms
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/a17060221,
  title = {A Hybrid Learning-Architecture for Improved Brain Tumor Recognition},
  author = {Jose Dixon and Oluwatunmise Akinniyi and Abeer Abdelhamid and Gehad A. Saleh and Md Mahmudur Rahman and Fahmi Khalifa},
  year = {2024},
  journal = {Algorithms},
  doi = {10.3390/a17060221},
  url = {https://doi.org/10.3390/a17060221}
}

RIS

TY  - JOUR
TI  - A Hybrid Learning-Architecture for Improved Brain Tumor Recognition
AU  - Jose Dixon
AU  - Oluwatunmise Akinniyi
AU  - Abeer Abdelhamid
AU  - Gehad A. Saleh
AU  - Md Mahmudur Rahman
AU  - Fahmi Khalifa
PY  - 2024
JO  - Algorithms
DO  - 10.3390/a17060221
UR  - https://doi.org/10.3390/a17060221
ER  -

APA

Dixon, J., Akinniyi, O., Abdelhamid, A., Saleh, G. A., Rahman, M. M., & Khalifa, F. (2024). A Hybrid Learning-Architecture for Improved Brain Tumor Recognition. Algorithms. https://doi.org/10.3390/a17060221

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doaj · retrieved 2026-09-25T14:55:48.632Z