2023
DOI: 10.3233/thc-236036
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Development of a robust eye exam diagnosis platform with a deep learning model

Abstract: BACKGROUND: Eye exam diagnosis is one of the early detection methods. However, such a method is dependent on expensive and unpredictable optical equipment. OBJECTIVE: The eye exam can be re-emerged through an optometric lens attached to a smartphone and come to read the diseases automatically. Therefore, this study aims to provide a stable and predictable model with a given dataset representing the target group domain and develop a new method to identify eye disease with accurate and stable performance. METHOD… Show more

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Cited by 3 publications
(1 citation statement)
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“…In general, the severity of DR is diagnosed by ophthalmologists based on their clinical experience. However, computer-aided classification technology can significantly save time and improve the efficiency and accuracy of DR classification ( 6 ). Currently, research in this area can be broadly categorized into two types: (I) hands-on engineering; and (II) deep-learning methods.…”
Section: Introductionmentioning
confidence: 99%
“…In general, the severity of DR is diagnosed by ophthalmologists based on their clinical experience. However, computer-aided classification technology can significantly save time and improve the efficiency and accuracy of DR classification ( 6 ). Currently, research in this area can be broadly categorized into two types: (I) hands-on engineering; and (II) deep-learning methods.…”
Section: Introductionmentioning
confidence: 99%