Dual-feature cross-fusion network for precise brain tumor classification: a neurocomputational approach.

M M, G S, Bendre M, Nirmal M

DOI: 10.1080/00207454.2025.2565445
Published: 2026 Apr
Container: The International journal of neuroscience
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1080/00207454.2025.2565445,
  title = {Dual-feature cross-fusion network for precise brain tumor classification: a neurocomputational approach.},
  author = {M M and G S and Bendre M and Nirmal M},
  year = {2026},
  journal = {The International journal of neuroscience},
  doi = {10.1080/00207454.2025.2565445},
  url = {https://doi.org/10.1080/00207454.2025.2565445}
}

RIS

TY  - JOUR
TI  - Dual-feature cross-fusion network for precise brain tumor classification: a neurocomputational approach.
AU  - M M
AU  - G S
AU  - Bendre M
AU  - Nirmal M
PY  - 2026
JO  - The International journal of neuroscience
DO  - 10.1080/00207454.2025.2565445
UR  - https://doi.org/10.1080/00207454.2025.2565445
ER  -

APA

M, M., S, G., M, B., & M, N. (2026). Dual-feature cross-fusion network for precise brain tumor classification: a neurocomputational approach.. The International journal of neuroscience. https://doi.org/10.1080/00207454.2025.2565445

Source records

pubmed · retrieved 2026-09-26T04:33:16.401Z