Deep learning for vision screening in resource-limited settings: development of multi-branch CNN for refractive error detection based on smartphone image

Authors

Sutanto Priyo Hastono (ORCID: https://orcid.org/0000-0001-5754-3872)
Nila F. Moeloek
Kemal N. Siregar (ORCID: https://orcid.org/0000-0003-1229-0060)
Harry Patria (ORCID: https://orcid.org/0000-0002-7844-538X)
Muhammad Syauqie (ORCID: https://orcid.org/0000-0003-4312-8007)

Institutions

University of Strathclyde (GB)
University of Indonesia (ID)
Rumah Sakit Umum Pusat Nasional Dr. Cipto Mangunkusumo (ID)
Andalas University (ID)

Publication Details

Journal: Frontiers in Computer Science
Published: 2025-07-30
DOI: https://doi.org/10.3389/fcomp.2025.1576958
Citations: 1
Primary Topic: Retinal Imaging and Analysis
Type: article
Field-Weighted Citation Impact: 1.36

Funders

Lembaga Pengelola Dana Pendidikan
Universitas Andalas

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article

Deep learning for vision screening in resource-limited settings: development of multi-branch CNN for refractive error detection based on smartphone image

Sutanto Priyo Hastono, Nila F. Moeloek, Kemal N. Siregar, Harry Patria et al.

Jul 30, 2025

1 citations

Frontiers in Computer Science

Retinal Imaging and Analysis

1.36

article

Deep learning for vision screening in resource-limited settings: development of multi-branch CNN for refractive error detection based on smartphone image

Sutanto Priyo Hastono, Nila F. Moeloek, Kemal N. Siregar, Harry Patria, Muhammad Syauqie

July 30, 2025article en

1 citations

Abstract

No abstract available for this paper.

Frontiers in Computer ScienceVol. 7

University of Strathclyde (GB), University of Indonesia (ID), Rumah Sakit Umum Pusat Nasional Dr. Cipto Mangunkusumo (ID), Andalas University (ID)

Lembaga Pengelola Dana Pendidikan, Universitas Andalas

Openalex Percentile: Top 17%

Retinal Imaging and Analysis

1.36

DOI Open Access PDF OpenAlex

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