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A Multiscale Optimization Approach to Detect Exudates in the Macula
2014
IEEE journal of biomedical and health informatics
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In this paper, we present an automatic system to detect exudates in the macula. ...
Our approach uses optimal thresholding of instantaneous amplitude (IA) components that are extracted from multiple frequency scales to generate candidate exudate regions. ...
They would also thank the University of Texas Health Sciences Center in San Antonio and MESSIDOR for providing the data used in this paper. ...
doi:10.1109/jbhi.2013.2296399
pmid:25014937
fatcat:k2llrdpb7balfmctf2u6tiskiq
Early Detection of Diabetic Retinopathy through Machine Learning Techniques
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Machine Learning (ML) techniques play a vital role in early detection of DR. ...
In this paper a review on the existing techniques with open issues to be addressed is presented for diagnosing DR and model is proposed to consider the features namely Microaneurysms, Retinal Hemorrhages ...
Earlier detection is a key factor to prevent loss of vision for people with DM. The longer a person with DM has higher chance of developing DR. ...
doi:10.35940/ijitee.b1112.1292s19
fatcat:djotymnppzcd3gp6xxjf5suisi
A Review of Computer Aided Detection of Anatomical Structures and Lesions of DR from Color Retina Images
2015
International Journal of Image Graphics and Signal Processing
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This paper presents a review of various existing research in detection of anatomical structures in retina and lesions for the diagnosis of diabetic retinopathy (DR). ...
/ macula detection and extraction. ...
They used a simple optimization algorithm that uses a simple search space while in [22] , genetic algorithm is used to find the optimal parameters of matched filter. ...
doi:10.5815/ijigsp.2015.11.08
fatcat:5sqvtk5gebc27cpwijh3e45wby
Binary operation based hard exudate detection and fuzzy based classification in diabetic retinal fundus images for real time diagnosis applications
2020
International Journal of Electrical and Computer Engineering (IJECE)
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In the initial stage, the binary operations are used to identify the exudates. ...
The main objective of this paper is to automatically detect and recognize DR lesions like hard exudates, as it helps in diagnosing and screening of the disease. ...
[18] presented an automated system for detection of exudates in the macula. This approach uses optimal thresholding of Instantaneous Amplitude (IA) components. ...
doi:10.11591/ijece.v10i3.pp2305-2312
fatcat:xfuo27f4pnfgtp3j7vyxsbsxma
Review on the Role of Macular Edema in Retinopathy, Blindness and Automated Diagnosis Methods
2021
EAI Endorsed Transactions on Pervasive Health and Technology
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METHODS: The proposed method uses a semi-automated macula segmentation approach and Local Binary Pattern features to train k-Nearest Neighbor classifier and performs binary classification. ...
RESULTS: We have achieved 80% accuracy and 90% sensitivity in classifying normal and abnormal retina CONCLUSION: We justified the notion that it will be beneficial to have a method that can analyse the ...
The bright lesions found in DR are mainly Hard-Exudates
and
et al. 2010 and Lazar & Hajdu 2013 used a hybrid approach to detect MA
Table - 1 - summarizes the stateof-the-art methods for DR detections ...
doi:10.4108/eai.17-3-2021.169034
fatcat:uxbftisi3zhlhejpdtjkz76oqm
Three-Dimensional Analysis of Retinal Layer Texture: Identification of Fluid-Filled Regions in SD-OCT of the Macula
2010
IEEE Transactions on Medical Imaging
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From the flattened OCT data, 23 features are extracted in each layer locally to characterize texture and thickness properties across the macula. ...
In this paper, a method for automated characterization of the normal macular appearance in spectral domain OCT (SD-OCT) volumes is reported together with a general approach for local retinal abnormality ...
The method utilizes a multiscale 3-D graph search approach to automatically segment 11 retinal surfaces defining 10 intraretinal layers from 3-D macula OCT scans. ...
doi:10.1109/tmi.2010.2047023
pmid:20363675
pmcid:PMC2911793
fatcat:xemt5jvvwrgcxd5uoyvwpoara4
A Review on Recent Developments for Detection of Diabetic Retinopathy
2016
Scientifica
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Manual inspection of fundus images to check morphological changes in microaneurysms, exudates, blood vessels, hemorrhages, and macula is a very time-consuming and tedious work. ...
This work will be helpful for the researchers and technical persons who want to utilize the ongoing research in this area. ...
A novel approach is proposed to detect DR automatically from digital fundus images. ...
doi:10.1155/2016/6838976
pmid:27777811
pmcid:PMC5061953
fatcat:vrul355ltjeqvbmgr4quuyflii
The Role of Optic Disc, Retinal Blood Vessels and Exudates in Detection of Diabetic Retinopathy: A Literature Review
2019
Journal of Clinical and Diagnostic Research
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The abnormality in the anatomic and pathological structure has to be analysed for the prevention of retinal diseases. In this review, the Optic Disc (OD), blood vessels and exudates has been studied. ...
Therefore, for patients with the chronic diseases DR, the pathological sign exudates have to be analysed by the radiologists while diagnosing and the patients not falling in the DR group can be diagnosed ...
The OD is placed 3-4 mm to the nasal side of the fovea where it is located in the centre part of the macula region in retina. ...
doi:10.7860/jcdr/2019/37883.12732
fatcat:iy234ofzhbgzbnmkpkfvyhyiay
A review of feature-based retinal image analysis
2017
Expert Review of Ophthalmology
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In particular, this review aims to describe publically available retinal image databases, highlight different performance evaluators commonly used within the field, outline current approaches in feature-based ...
ISSN 1746-9899 , http://dx.Abstract Introduction: Retinal imaging is a fundamental tool in ophthalmic diagnostics. ...
A further Hough transformation was applied to the edges of the macula in order to define the circular geometry of the macula and its center, the fovea. ...
doi:10.1080/17469899.2017.1307105
fatcat:5eyenzltwvgrxnfksfbokmbd7m
Automatic assessment of macular edema from color retinal images
2012
IEEE Transactions on Medical Imaging
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DME detection is carried out via a supervised learning approach using the normal fundus images. ...
In this paper, a two-stage methodology for the detection and classification of DME severity from color fundus images is proposed. ...
PAST WORK Among recent approaches to direct detection of edema from color fundus images, multiple uncalibrated fundus images have been used to estimate a height map of macula in [2] . ...
doi:10.1109/tmi.2011.2178856
pmid:22167598
fatcat:h2aqw5en7jdwblzw2ovaokmjva
Detection of Macula and Recognition of Aged-Related Macular Degeneration in Retinal Fundus Images
2021
Computing and informatics
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In this paper, we propose a new macula detection system based on contrast enhancement, top-hat transformation, and the modified Kirsch template method. ...
It is time-consuming and costly for the ophthalmologists to monitor fundus images. A monitoring system for automated digital fundus photography can reduce these problems. ...
[28] proposed the automatic approach for the detection of the macula in the fundus images using a multi-scale optimization technique. Finally, Aljazaeri et al. ...
doi:10.31577/cai_2021_5_957
fatcat:wqd6hqphpvaqxfeusihfvcqaom
Automatic Detection of Exudates in Color Fundus Retinopathy Images
2015
Indian Journal of Science and Technology
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Methods: It is proposed to develop an automatic computer aided detection system that screen a large number of people to identify the DR in its earlier stage for proper treatments. ...
Objective: The aim of this paper is to design a computationally intelligent method to determine exudates, the Non-Proliferative Diabetic Retinopathy (NPDR) symptom which is considered to be the initial ...
S.Nemeth,E.S.Barriga, P.Soliz
Multiscale optimization approach
UTHSC SA & Messidor
Dataset
652 & 400
Sensitivity-100%
Specificity-73% ...
doi:10.17485/ijst/2015/v8i26/81049
fatcat:ixgklh6wsbbivplc7zzadn44xa
Automatic Detection of Age-Related Macular Degeneration Based on Deep Learning and Local Outlier Factor Algorithm
2022
Diagnostics
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Comparison with other methods also indicates the efficiency of the proposed method in detecting AMD. ...
A ResNet-50 model with L2-constrained softmax loss was retrained to extract features from OCT images and the LOF algorithm was used as the classifier. ...
Acknowledgments: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. ...
doi:10.3390/diagnostics12020532
pmid:35204621
pmcid:PMC8871377
fatcat:pst6spfetzba3bohbsm5yvh2k4
Fundus Image Analysis to Detect Abnormalities in Diabetic Retinopathy using Computer Aided Design Tools - A Review
2020
International Journal of Engineering and Advanced Technology
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Diabetic retinopathy is becoming a major threat to visual loss in human beings. ...
This paper tries to give a detailed review of various image-processing methods used in early detection of diabetic retinopathy and future insights to develop algorithms, which reduces clinician's time ...
In paper [30] Exudate detection is achieved with an efficient integrated approach. ...
doi:10.35940/ijeat.c6366.089620
fatcat:vm775vmscfaz5j4a2kwm4ylbt4
A multiscale decomposition approach to detect abnormal vasculature in the optic disc
2015
Computerized Medical Imaging and Graphics
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This paper presents a multiscale method to detect neovascularization in the optic disc (NVD) using fundus images. ...
All the vessels in the ROI are segmented by adaptively combining contrast enhancement methods with a vessel segmentation technique. ...
We also thank The University of Texas Health Sciences Center in San Antonio and the Retina Institute of South Texas for providing our dataset. ...
doi:10.1016/j.compmedimag.2015.01.001
pmid:25698545
pmcid:PMC4450143
fatcat:g57ifjqnfzb4hfnisvrrvs774i
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