A Comprehensive CNN Model for Age-Related Macular Degeneration Classification Using OCT: Integrating Inception Modules, SE Blocks, and ConvMixer

A Comprehensive CNN Model for Age-Related Macular Degeneration Classification Using OCT: Integrating Inception Modules, SE Blocks, and ConvMixer

<b>Background/Objectives</b>: Age-related macular degeneration (AMD) is a significant cause of vision loss in older adults, often progressing without early noticeable symptoms. Deep learning (DL) models, particularly convolutional neural networks (CNNs), demonstrate potential in accurate...

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Bibliographic Details
Main Authors: Elif Yusufoğlu, Hüseyin Fırat, Hüseyin Üzen, Salih Taha Alperen Özçelik, İpek Balıkçı Çiçek, Abdulkadir Şengür, Orhan Atila, Numan Halit Guldemir
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Diagnostics
Subjects:
ConvMixer
depthwise squeeze-and-excitation block
modified inception module
age-related macular degeneration
optical coherence tomography
Online Access:https://www.mdpi.com/2075-4418/14/24/2836

Internet

https://www.mdpi.com/2075-4418/14/24/2836

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