Cotton wool spots detection in diabetic retinopathy based on adaptive thresholding and ant colony optimization coupling support vector machine-Reference-Cited by-同舟云学术

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Cotton wool spots detection in diabetic retinopathy based on adaptive thresholding and ant colony optimization coupling support vector machine

Published:2019-02-18 Issue:6 Volume:14 Page:884-893
ISSN:1931-4973
Container-title:IEEJ Transactions on Electrical and Electronic Engineering
language:en
Short-container-title:IEEJ Trans Elec Electron Eng

Author:

Sreng Syna¹,Maneerat Noppadol¹,Hamamoto Kazuhiko²,Panjaphongse Ronakorn³

Affiliation:

1. Faculty of EngineeringKing Mongkut's Institute of Technology Ladkrabang No. 1, Soi Chalong Krung 1, Lat Krabang Bangkok, 10520 Thailand

2. School of Information and Telecommunication EngineeringTokai University No. 2‐3‐23, Takanawa, Minato‐ku Tokyo 108‐8619 Japan

3. Ophthalology DepartmentBhumibol Adulyadej Hospital Royal Thai Air Force, No. 171, Phaholyothin, Saimai Bangkok 10220 Thailand

Funder

ASEAN University Network/Southeast Asia Engineering Education Development Network

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.22878

Reference47 articles.

1. A Practical Manual of Diabetic Retinopathy Management

2. Isolated cotton-wool spots of unknown etiology: management and sequential spectral domain optical coherence tomography documentation

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1. Grading of diabetic retinopathy using deep learning techniques;Computational Methods and Deep Learning for Ophthalmology;2023

2. Automatic Segmentation of Calcified Plaques and Vessel Borders from Abdominal Aorta CTA Images Using a 2D Spatial Convolutional Multilayer Machine Vision Classifier;IEEJ Transactions on Electrical and Electronic Engineering;2022-10-17

3. EAD-Net: A Novel Lesion Segmentation Method in Diabetic Retinopathy Using Neural Networks;Disease Markers;2021-09-01

4. Detection and Grading of Diabetic Retinopathy in Retinal Images Using Deep Intelligent Systems: A Comprehensive Review;Computers, Materials & Continua;2021

5. The Fusion of Features for Detection of Cotton Wool Spots in Digital Fundus Images;Advances in Intelligent Systems and Computing;2021

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