Retinal Blood Vessel Segmentation Using Hybrid Features and Multi-Layer Perceptron Neural Networks
Segmentation of retinal blood vessels is the first step for several computer aided-diagnosis systems (CAD), not only for ocular disease diagnosis such as diabetic retinopathy (DR) but also of non-ocular disease, such as hypertension, stroke and cardiovascular diseases. In this paper, a supervised le...
Main Authors: | Nasser Tamim, M. Elshrkawey, Gamil Abdel Azim, Hamed Nassar |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/12/6/894 |
Similar Items
-
Retinal Blood Vessels Segmentation using Local Ternary Pattern
by: Bibi Misbah Kazmi, et al.
Published: (2021-03-01) -
Comparative Analysis of Vessel Segmentation Techniques in Retinal Images
by: Azhar Imran, et al.
Published: (2019-01-01) -
Retinal blood vessels segmentation using classical edge detection filters and the neural network
by: Beaudelaire Saha Tchinda, et al.
Published: (2021-01-01) -
ResWnet for Retinal Small Vessel Segmentation
by: Yu Tang, et al.
Published: (2020-01-01) -
A Review of Algorithms for Retinal Vessel Segmentation
by: Monserrate Intriago Pazmiño, et al.
Published: (2014-10-01)