SPiKe-Med: a hybrid spiking-CNN-transformer framework for energy-efficient brain tumor MRI segmentation.

Sujatha M, Aarthi B

DOI: 10.3389/frai.2026.1852940
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1852940,
  title = {SPiKe-Med: a hybrid spiking-CNN-transformer framework for energy-efficient brain tumor MRI segmentation.},
  author = {Sujatha M and Aarthi B},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1852940},
  url = {https://doi.org/10.3389/frai.2026.1852940}
}

RIS

TY  - JOUR
TI  - SPiKe-Med: a hybrid spiking-CNN-transformer framework for energy-efficient brain tumor MRI segmentation.
AU  - Sujatha M
AU  - Aarthi B
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1852940
UR  - https://doi.org/10.3389/frai.2026.1852940
ER  -

APA

M, S., & B, A. (2026). SPiKe-Med: a hybrid spiking-CNN-transformer framework for energy-efficient brain tumor MRI segmentation.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1852940

Source records

pubmed · retrieved 2026-09-25T19:51:34.383Z