Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods

Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 - Lecture Notes in Electrical Engineering ◽

Automatic Detection of Diabetic Retinopathy Retinal Images Using Artificial Neural Network

10.1007/978-981-13-3708-6_43 ◽

2019 ◽

pp. 495-503 ◽

Author(s):

Syamimi Mardiah Shaharum ◽

Nurul Hajar Hashim ◽

Nurhafizah Abu Talip @ Yusof ◽

Mohamad Shaiful Abdul Karim ◽

Ahmad Afif Mohd Faudzi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Diabetic Retinopathy ◽

Automatic Detection ◽

Retinal Images ◽

Artificial Neural

Automatic detection of diabetic retinopathy features in ultra-wide field retinal images

10.1117/12.2253980 ◽

2017 ◽

Author(s):

Anastasia Levenkova ◽

Arcot Sowmya ◽

Michael Kalloniatis ◽

Angelica Ly ◽

Arthur Ho

Keyword(s):

Diabetic Retinopathy ◽

Automatic Detection ◽

Retinal Images ◽

Wide Field

Automatic Diagnosis of Diabetic Retinopathy Micro aneurysm from Low Contrast Retinal Images using Mathematical Morphology Methods

International Journal of Computer Applications ◽

10.5120/ijca2015907040 ◽

2015 ◽

Vol 130 (6) ◽

pp. 50-56

Author(s):

Raju Maher ◽

Sangramsing Kayte ◽

Dnyaneshwar Panchal ◽

Suvarnsing G. ◽

Pankaj Sathe ◽

...

Keyword(s):

Diabetic Retinopathy ◽

Mathematical Morphology ◽

Retinal Images ◽

Automatic Diagnosis ◽

Low Contrast

Proceedings of the 2018 International Conference on Sensors, Signal and Image Processing - SSIP 2018 ◽

Automatic Detection of Blood Vessels and Classification in Retinal Images for Diabetic Retinopathy Diagnosis with Application of Convolution Neural Network

10.1145/3290589.3290596 ◽

2018 ◽

Author(s):

N. S. Pazovskiy Kazakh-British ◽

A. A. Pak ◽

Dana Abdullina

Keyword(s):

Neural Network ◽

Diabetic Retinopathy ◽

Blood Vessels ◽

Automatic Detection ◽

Convolution Neural Network ◽

Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images

IET Image Processing ◽

10.1049/iet-ipr.2017.0636 ◽

2018 ◽

Vol 12 (4) ◽

pp. 563-571 ◽

Cited By ~ 22

Author(s):

Lei Zhou ◽

Yu Zhao ◽

Jie Yang ◽

Qi Yu ◽

Xun Xu

Keyword(s):

Diabetic Retinopathy ◽

Automatic Detection ◽

Multiple Instance Learning ◽

Automatic detection and recognition of optic disk with maker-controlled watershed segmentation and mathematical morphology in color retinal images

Soft Computing ◽

10.1007/s00500-017-2681-9 ◽

2017 ◽

Vol 22 (19) ◽

pp. 6329-6339 ◽

Author(s):

Kittipol Wisaeng ◽

Worawat Sa-ngiamvibool

Keyword(s):

Mathematical Morphology ◽

Automatic Detection ◽

Optic Disk ◽

Retinal Images ◽

Watershed Segmentation ◽

Detection And Recognition

2017 Sixteenth Mexican International Conference on Artificial Intelligence (MICAI) ◽

Automatic Detection of Hard Exudates in Retinal Images with Diabetic Retinopathy

10.1109/micai-2017.2017.00017 ◽

2017 ◽

Author(s):

Mario Canche ◽

Oscar Dalmau ◽

Maria Garcia Gadanon

Keyword(s):

Diabetic Retinopathy ◽

Automatic Detection ◽

Retinal Images ◽

Hard Exudates

An Automatic Detection of Blood Vessel in Retinal Images Using Convolution Neural Network for Diabetic Retinopathy Detection

Pattern Recognition and Image Analysis ◽

10.1134/s1054661819030180 ◽

2019 ◽

Vol 29 (3) ◽

pp. 533-545

Author(s):

C. Raja ◽

L. Balaji

Keyword(s):

Neural Network ◽

Diabetic Retinopathy ◽

Blood Vessel ◽

Automatic Detection ◽

Convolution Neural Network ◽

Analysis of Diabetic Retinopathy Based on Texture Properties of Retinal Images

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i5.516522 ◽

2018 ◽

Vol 6 (5) ◽

pp. 516-522

Author(s):

Abhinandan Kalita ◽

Keyword(s):

Diabetic Retinopathy ◽

Retinal Images ◽

Texture Properties

Automatic detection of papilledema through fundus retinal images using deep learning

Microscopy Research and Technique ◽

10.1002/jemt.23865 ◽

2021 ◽

Author(s):

Tanzila Saba ◽

Shahzad Akbar ◽

Hoshang Kolivand ◽

Saeed Ali Bahaj

Keyword(s):

Deep Learning ◽

Automatic Detection ◽