Application of deep learning methods for automated analysis of retinal structures in ophthalmology
Akmaral Kassymova,
Assem Konyrkhanova,
Aida Issembayeva
et al.
Abstract:This article examines a current area of research in the field of ophthalmology the use of deep learning methods for automated analysis of retinal structures. This work explores the use of deep learning methods such as EfficientNet and DenseNet for the automated analysis of retinal structures in ophthalmology. EfficientNet, originally proposed to balance between accuracy and computational efficiency, and DenseNet, based on dense connections between layers, are considered as tools for identifying and classifying… Show more
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