Vol. 3 No. 1 (2026): ML Architecture

					View Vol. 3 No. 1 (2026): ML Architecture

This issue focuses on the design, comparison, and evaluation of machine-learning architectures in health science, including deep neural networks, ensemble models, attention mechanisms, transfer learning, and clinically oriented model validation.

Published: 17.06.2026

Original Article

  • Using Deep Learning to Classify Retinal Diseases from OCT Images

    Foma Molchanov, Sukhwant Pal (Author)
    d22062026
    DOI: https://doi.org/10.62487/1t999t50