Automatic detection and characterisation of retinal vessel tree bifurcations and crossovers in eye fundus images

2011 ◽  
Vol 103 (1) ◽  
pp. 28-38 ◽  
Author(s):  
David Calvo ◽  
Marcos Ortega ◽  
Manuel G. Penedo ◽  
Jose Rouco
Keyword(s):  
Automatic Detection ◽  
Retinal Vessel ◽  
Fundus Images ◽  
Vessel Tree

scholarly journals Automatic detection of diabetic retinopathy and its progression in sequential fundus images of patients with diabetes

2018 ◽  
Vol 97 (4) ◽  
pp. e667-e669
Author(s):  
Alexander Dietzel ◽  
Carolin Schanner ◽  
Aura Falck ◽  
Nina Hautala
Keyword(s):  
Diabetic Retinopathy ◽  
Automatic Detection ◽  
Fundus Images ◽  
Patients With Diabetes

scholarly journals Automatic Detection of Exudates from Digital Color Fundus Images

2015 ◽  
Vol 122 (7) ◽  
pp. 18-22 ◽  
Author(s):  
Ahmed S.ElSisy ◽  
Nancy M. Salem ◽  
Ahmed F.Seddik
Keyword(s):  
Automatic Detection ◽  
Fundus Images ◽  
Color Fundus Images

An Approach for Automatic Detection and Grading of Macular Edema

2017 ◽  
pp. 1677-1702
Author(s):  
Jyoti Prakash Medhi
Keyword(s):  
Image Processing ◽  
Decision Making ◽  
Diabetic Retinopathy ◽  
Blood Vessel ◽  
Macular Edema ◽  
Automatic Detection ◽  
Automatic Analysis ◽  
Fundus Images

Prolonged Diabetes causes massive destruction to the retina, known as Diabetic Retinopathy (DR) leading to blindness. The blindness due to DR may consequence from several factors such as Blood vessel (BV) leakage, new BV formation on retina. The effects become more threatening when abnormalities involves the macular region. Here automatic analysis of fundus images becomes important. This system checks for any abnormality and help ophthalmologists in decision making and to analyze more number of cases. The main objective of this chapter is to explore image processing tools for automatic detection and grading macular edema in fundus images.

scholarly journals Measurement of Retinal Vessel Widths From Fundus Images Based on 2-D Modeling

2004 ◽  
Vol 23 (10) ◽  
pp. 1196-1204 ◽  
Author(s):  
J. Lowell ◽  
A. Hunter ◽  
D. Steel ◽  
A. Basu ◽  
R. Ryder ◽  
...  
Keyword(s):  
Retinal Vessel ◽  
Fundus Images

Combining algorithms for automatic detection of optic disc and macula in fundus images

2012 ◽  
Vol 116 (1) ◽  
pp. 138-145 ◽  
Author(s):  
Rashid Jalal Qureshi ◽  
Laszlo Kovacs ◽  
Balazs Harangi ◽  
Brigitta Nagy ◽  
Tunde Peto ◽  
...  
Keyword(s):  
Optic Disc ◽  
Automatic Detection ◽  
Fundus Images

Deep multi-instance heatmap regression for the detection of retinal vessel crossings and bifurcations in eye fundus images

2020 ◽  
Vol 186 ◽  
pp. 105201
Author(s):  
Álvaro S. Hervella ◽  
José Rouco ◽  
Jorge Novo ◽  
Manuel G. Penedo ◽  
Marcos Ortega
Keyword(s):  
Retinal Vessel ◽  
Fundus Images

scholarly journals Supervised retinal vessel segmentation from color fundus images based on matched filtering and AdaBoost classifier

PLoS ONE ◽  
2017 ◽  
Vol 12 (12) ◽  
pp. e0188939 ◽  
Author(s):  
Nogol Memari ◽  
Abd Rahman Ramli ◽  
M. Iqbal Bin Saripan ◽  
Syamsiah Mashohor ◽  
Mehrdad Moghbel
Keyword(s):  
Retinal Vessel ◽  
Vessel Segmentation ◽  
Matched Filtering ◽  
Fundus Images ◽  
Retinal Vessel Segmentation ◽  
Color Fundus Images ◽  
Adaboost Classifier
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