A Convolutional Autoencoder Approach for Boosting the Specificity of Retinal Blood Vessels Segmentation

A Convolutional Autoencoder Approach for Boosting the Specificity of Retinal Blood Vessels Segmentation

Automated retina vessel segmentation of the human eye plays a vital role as it can significantly assist ophthalmologists in identifying many eye diseases, such as diabetes, stroke, arteriosclerosis, cardiovascular disease, and many other human illnesses. The fast, automatic and accurate retina vesse...

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Bibliographic Details
Main Authors: Natalia Nikoloulopoulou, Isidoros Perikos, Ioannis Daramouskas, Christos Makris, Povilas Treigys, Ioannis Hatzilygeroudis
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
deep learning
image segmentation
blood vessel detection
retinal fundus images
convolutional autoencoder
medical imaging
Online Access:https://www.mdpi.com/2076-3417/13/5/3255

Internet

https://www.mdpi.com/2076-3417/13/5/3255

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