CerevianNet: parameter efficient multi-class brain tumor classification using custom lightweight CNN
- DOI
- 10.3389/fmed.2025.1664673
- Published
- 2026-01-23
- Container
- Frontiers in Medicine
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fmed.2025.1664673,
title = {CerevianNet: parameter efficient multi-class brain tumor classification using custom lightweight CNN},
author = {Md Khurshid Jahan and Abdullah Al Shafi and Maher Ali Rusho and Md. Shahriar Hussain and Ahmed Faizul Haque Dhrubo},
year = {2026},
journal = {Frontiers in Medicine},
doi = {10.3389/fmed.2025.1664673},
url = {https://doi.org/10.3389/fmed.2025.1664673}
}RIS
TY - JOUR TI - CerevianNet: parameter efficient multi-class brain tumor classification using custom lightweight CNN AU - Md Khurshid Jahan AU - Abdullah Al Shafi AU - Maher Ali Rusho AU - Md. Shahriar Hussain AU - Ahmed Faizul Haque Dhrubo PY - 2026 JO - Frontiers in Medicine DO - 10.3389/fmed.2025.1664673 UR - https://doi.org/10.3389/fmed.2025.1664673 ER -
APA
Jahan, M. K., Shafi, A. A., Rusho, M. A., Hussain, M. S., & Dhrubo, A. F. H. (2026). CerevianNet: parameter efficient multi-class brain tumor classification using custom lightweight CNN. Frontiers in Medicine. https://doi.org/10.3389/fmed.2025.1664673
Source records
- crossref · retrieved 2026-09-26T06:53:04.320Z