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A Multiscale Optimization Approach to Detect Exudates in the Macula

Carla Agurto, Victor Murray, Honggang Yu, Jeffrey Wigdahl, Marios Pattichis, Sheila Nemeth, E. Simon Barriga, Peter Soliz
2014 IEEE journal of biomedical and health informatics  
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  
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

Sreejini K S, V. K Govindan
2015 International Journal of Image Graphics and Signal Processing  
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

Arun Pradeep, X Felix Joseph
2020 International Journal of Electrical and Computer Engineering (IJECE)  
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

M. Barman, D. Deb, M. Hassan, B. Choudhury
2021 EAI Endorsed Transactions on Pervasive Health and Technology  
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

Gwénolé Quellec, Kyungmoo Lee, Martin Dolejsi, Mona K. Garvin, Michael D. Abramoff, Milan Sonka
2010 IEEE Transactions on Medical Imaging  
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

Javeria Amin, Muhammad Sharif, Mussarat Yasmin
2016 Scientifica  
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

GR Hemalakshmi, D Santhi, NB Prakash
2019 Journal of Clinical and Diagnostic Research  
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

Kirsty C Jordan, Matteo Menolotto, Nigel M Bolster, Iain AT Livingstone, Mario E Giardini
2017 Expert Review of Ophthalmology  
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

K. S. Deepak, J. Sivaswamy
2012 IEEE Transactions on Medical Imaging  
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

Sarmad Maqsood, Robertas Damaševičius, Faisal Mehmood Shah, Rytis Maskeliūnas
2021 Computing and informatics  
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

C. P. Reshma Chand, J. Dheeba
2015 Indian Journal of Science and Technology  
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

Tingting He, Qiaoer Zhou, Yuanwen Zou
2022 Diagnostics  
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  
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

Carla Agurto, Honggang Yu, Victor Murray, Marios S. Pattichis, Sheila Nemeth, Simon Barriga, Peter Soliz
2015 Computerized Medical Imaging and Graphics  
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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