A New Approach for Fundus Lesions Instance Segmentation Based on Mask R-CNN X101-FPN Pre-Trained Architecture

A New Approach for Fundus Lesions Instance Segmentation Based on Mask R-CNN X101-FPN Pre-Trained Architecture

Diabetic retinopathy is one of the main causes of vision loss, and it can be identified through ophthalmological examinations that aim to locate the presence of retinal lesions such as Microaneurysms, Hemorrhages, Soft Exudates, and Hard Exudates. The development of computerized approaches to perfor...

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Bibliographic Details
Main Authors: Carlos Santos, Marilton Aguiar, Daniel Welfer, Marcelo Dias, Alejandro Pereira, Marcelo Ribeiro, Bruno Belloni
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Fundus image
lesions detection
instance segmentation
mask R-CNN
Online Access:https://ieeexplore.ieee.org/document/10113315/

Internet

https://ieeexplore.ieee.org/document/10113315/

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