Toward reliable computer-aided brain tumor diagnosis: a contrast-enhanced deep learning approach with hybrid KNN classification.
- DOI
- 10.3389/fnhum.2026.1883543
- Published
- 2026
- Container
- Frontiers in human neuroscience
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fnhum.2026.1883543,
title = {Toward reliable computer-aided brain tumor diagnosis: a contrast-enhanced deep learning approach with hybrid KNN classification.},
author = {Pandurangan K and Gowri DC and Surekha JN and Chafle PV and Reddy KV and Bansal S and Prakash K and Islam MS and Tariqul Islam M},
year = {2026},
journal = {Frontiers in human neuroscience},
doi = {10.3389/fnhum.2026.1883543},
url = {https://doi.org/10.3389/fnhum.2026.1883543}
}RIS
TY - JOUR TI - Toward reliable computer-aided brain tumor diagnosis: a contrast-enhanced deep learning approach with hybrid KNN classification. AU - Pandurangan K AU - Gowri DC AU - Surekha JN AU - Chafle PV AU - Reddy KV AU - Bansal S AU - Prakash K AU - Islam MS AU - Tariqul Islam M PY - 2026 JO - Frontiers in human neuroscience DO - 10.3389/fnhum.2026.1883543 UR - https://doi.org/10.3389/fnhum.2026.1883543 ER -
APA
K, P., DC, G., JN, S., PV, C., KV, R., S, B., K, P., MS, I., & M, T. I. (2026). Toward reliable computer-aided brain tumor diagnosis: a contrast-enhanced deep learning approach with hybrid KNN classification.. Frontiers in human neuroscience. https://doi.org/10.3389/fnhum.2026.1883543
Source records
- pubmed · retrieved 2026-11-10T11:15:48.610Z