CerevianNet: parameter efficient multi-class brain tumor classification using custom lightweight CNN

Md Khurshid Jahan, Abdullah Al Shafi, Maher Ali Rusho, Md. Shahriar Hussain, Ahmed Faizul Haque Dhrubo

Open source

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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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

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