A spatial adaptive multi-scale ConvNeXt framework for robust, calibrated, and statistically validated multi-class retinal OCT classification.

Vijayan M, Veerapu G, J S N

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DOI: 10.3389/frai.2026.1898978
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.2026.1898978,
  title = {A spatial adaptive multi-scale ConvNeXt framework for robust, calibrated, and statistically validated multi-class retinal OCT classification.},
  author = {Vijayan M and Veerapu G and J S N},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1898978},
  url = {https://doi.org/10.3389/frai.2026.1898978}
}

RIS

TY  - JOUR
TI  - A spatial adaptive multi-scale ConvNeXt framework for robust, calibrated, and statistically validated multi-class retinal OCT classification.
AU  - Vijayan M
AU  - Veerapu G
AU  - J S N
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1898978
UR  - https://doi.org/10.3389/frai.2026.1898978
ER  -

APA

M, V., G, V., & N, J. S. (2026). A spatial adaptive multi-scale ConvNeXt framework for robust, calibrated, and statistically validated multi-class retinal OCT classification.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1898978

Source records

pubmed · retrieved 2026-09-25T20:02:08.961Z
europe-pmc · retrieved 2026-09-25T20:02:08.980Z
doaj · retrieved 2026-09-25T20:02:08.991Z