A generalizability analysis framework for bias resilience in convolution neural network and transformer models for diabetic retinopathy screening.

Kazmi M, Imran B, Qazi SA, Siddiqui MAR

DOI: 10.1371/journal.pone.0351225
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0351225,
  title = {A generalizability analysis framework for bias resilience in convolution neural network and transformer models for diabetic retinopathy screening.},
  author = {Kazmi M and Imran B and Qazi SA and Siddiqui MAR},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0351225},
  url = {https://doi.org/10.1371/journal.pone.0351225}
}

RIS

TY  - JOUR
TI  - A generalizability analysis framework for bias resilience in convolution neural network and transformer models for diabetic retinopathy screening.
AU  - Kazmi M
AU  - Imran B
AU  - Qazi SA
AU  - Siddiqui MAR
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0351225
UR  - https://doi.org/10.1371/journal.pone.0351225
ER  -

APA

M, K., B, I., SA, Q., & MAR, S. (2026). A generalizability analysis framework for bias resilience in convolution neural network and transformer models for diabetic retinopathy screening.. PloS one. https://doi.org/10.1371/journal.pone.0351225

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pubmed · retrieved 2026-11-10T10:31:28.713Z