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AlterNet-K: a small and compact model for the detection of glaucoma by Gavin D’Souza; P. C. Siddalingaswamy; Mayur Anand Pandya is a Engineering article available to read on EtoBox.

What is AlterNet-K: a small and compact model for the detection of glaucoma about?

Glaucoma is one of the leading causes of permanent blindness in the world. It is caused due to an increase in the intraocular pressure within the eye that harms the optic nerve. People suffering from Glaucoma often do not notice any changes in their vision in the early stages. However, as it progresses, Glaucoma usually leads to vision loss that is irreversible in many cases. Thus, early diagnosis of this eye disease is of critical importance. The fundus image is one of the most used diagnostic tools for glaucoma detection. However, drawing accurate insights from these images requires them to be manually analyzed by medical experts, which is a time-consuming process. In this work, we propose a parameter-efficient AlterNet-K model based on an alternating design pattern, which combines ResNets and multi-head self-attention (MSA) to leverage their complementary properties to improve the generalizability of the overall model. The model was trained on the Rotterdam EyePACS AIROGS dataset, comprising 113,893 colour fundus images from 60,357 subjects. The AlterNet-K model outperformed transformer models such as ViT, DeiT-S, and Swin transformer, standard DCNN models including ResNet, Effi

Who reads AlterNet-K: a small and compact model for the detection of glaucoma?

Author

Gavin D’Souza; P. C. Siddalingaswamy; Mayur Anand Pandya

Publisher

The Korean Society of Medical and Biological Engineering

Published

2023

Language

EN

Field

Engineering (Physical Sciences)