EffUnet-SpaGen: An Efficient and Spatial Generative Approach to Glaucoma Detection

EffUnet-SpaGen: An Efficient and Spatial Generative Approach to Glaucoma Detection

Current research in automated disease detection focuses on making algorithms “slimmer” reducing the need for large training datasets and accelerating recalibration for new data while achieving high accuracy. The development of slimmer models has become a hot research topic in medical imaging. In thi...

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Bibliographic Details
Main Authors: Venkatesh Krishna Adithya, Bryan M. Williams, Silvester Czanner, Srinivasan Kavitha, David S. Friedman, Colin E. Willoughby, Rengaraj Venkatesh, Gabriela Czanner
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Journal of Imaging
Subjects:
glaucoma
diagnosis
generative model
machine learning
classification
Online Access:https://www.mdpi.com/2313-433X/7/6/92

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https://www.mdpi.com/2313-433X/7/6/92

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