Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

Download Citation

Article Source: LiteFeatNet: A parameter-efficient and performance-centric deep learning model for multi-ocular disease identification using intermediate feature reduction from fundus images
Rafi U, Nawaz Q, Latif MA, Khatoon A (2026) LiteFeatNet: A parameter-efficient and performance-centric deep learning model for multi-ocular disease identification using intermediate feature reduction from fundus images. PLOS ONE 21(5): e0347867. https://doi.org/10.1371/journal.pone.0347867

Download the article citation in the following formats: