Automatic Detection of Microaneurysms in Fundus Images Using an Ensemble-Based Segmentation Method

Automatic Detection of Microaneurysms in Fundus Images Using an Ensemble-Based Segmentation Method

In this study, a novel method for automatic microaneurysm detection in color fundus images is presented. The proposed method is based on three main steps: (1) image breakdown to smaller image patches, (2) inference to segmentation models, and (3) reconstruction of the predicted segmentation map from...

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Bibliographic Details
Main Authors: Vidas Raudonis, Arturas Kairys, Rasa Verkauskiene, Jelizaveta Sokolovska, Goran Petrovski, Vilma Jurate Balciuniene, Vallo Volke
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
diabetic retinopathy (DR)
image segmentation
microaneurysms (MAs)
encoder-decoder deep neural network
Online Access:https://www.mdpi.com/1424-8220/23/7/3431

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