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...

Descripción completa

Detalles Bibliográficos
Autores principales: Raudonis, Vidas, Kairys, Arturas, Verkauskiene, Rasa, Sokolovska, Jelizaveta, Petrovski, Goran, Balciuniene, Vilma Jurate, Volke, Vallo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099354/
https://www.ncbi.nlm.nih.gov/pubmed/37050491
http://dx.doi.org/10.3390/s23073431

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099354/
https://www.ncbi.nlm.nih.gov/pubmed/37050491
http://dx.doi.org/10.3390/s23073431

Ejemplares similares