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Detection of Microaneurysms Using Grey Wolf Optimization for Early Diagnosis of Diabetic Retinopathy

Manohar Pundikal, RNS Institute of Technology, Mallikarjun Holi, University BDT College of Engineering
2020 International Journal of Intelligent Engineering and Systems  
In this study, a new model is proposed to detect microaneurysms from the retinal images for early diagnosis of diabetic retinopathy.  ...  In addition, Hessian based filter and Otsu threshold are used to extract the foreground objects like microaneurysms from the enhanced fundus images.  ...  Wu, Zhu, Shi, Zhu and Chen [14] presented a new system for the automatic detection of microaneurysms from the fundus images.  ... 
doi:10.22266/ijies2020.1231.19 fatcat:yrl5cnxyfzhlpcmotfg7pdpnnq

Automated detection of microaneurysms using scale-adapted blob analysis and semi-supervised learning

Kedir M. Adal, Désiré Sidibé, Sharib Ali, Edward Chaum, Thomas P. Karnowski, Fabrice Mériaudeau
2014 Computer Methods and Programs in Biomedicine  
The developed system is built using only few manually labeled and a large number of unlabeled retinal color fundus images.  ...  Despite several attempts, automated detection of microaneurysm (MA) from digital fundus images still remains to be an open issue.  ...  This intuition motivated us to model the MA detection task as a circular blob detection problem from fundus images.  ... 
doi:10.1016/j.cmpb.2013.12.009 pmid:24529636 fatcat:rzd23xjwtnfrtj2dbk3adzarmi

Deep Learning Approach for Automatic Microaneurysms Detection

Muhammad Mateen, Tauqeer Safdar Malik, Shaukat Hayat, Musab Hameed, Song Sun, Junhao Wen
2022 Sensors  
Furthermore, the developed approach outperformed the state-of-the-art approaches in terms of sensitivity and specificity for microaneurysms detection.  ...  In the proposed method, early detection of MAs is performed using a hybrid feature embedding approach of pre-trained CNN models, named as VGG-19 and Inception-v3.  ...  Acknowledgments: We would like to thank anonymous reviewers for their valuable feedback. This work is partly supported by the National Natural Science Foundation of China (Grant No. 62072060).  ... 
doi:10.3390/s22020542 pmid:35062506 pmcid:PMC8781897 fatcat:p5a53vpd3zel3ngwunvjidqhb4

Microaneurysms Detection Using Grey Wolf Optimizer and Modified K-Nearest Neighbor for Early Diagnosis of Diabetic Retinopathy

2022 International Journal of Intelligent Engineering and Systems  
In this paper, a six-phase model is introduced for detecting microaneurysms from the fundus retinal images for early diagnosis of DR.  ...  Saeedi, “Microaneurysm MKNN model achieved good performance in detection in fundus images using a two-step microaneurysms detection in light of classification  ... 
doi:10.22266/ijies2022.0228.13 fatcat:ghwhsopvhbh73nrg7jv2qi5vzu

A Road Map to Understand the Current Status of Diabetic Retinopathy Detection and Classification Methods

2020 International Journal of Engineering and Advanced Technology  
In the working-age population, the primary reason for blindness is Diabetic Retinopathy, which can be identified from the retinal fundus image.  ...  This research work has made a short survey on diverse DR detection mechanisms for determining the shortcoming of contributed papers to promote the future scope of this research aspect.  ...  [11] have described and validated the model for the detection of hemorrhages and microaneurysms automatically in color fundus images.  ... 
doi:10.35940/ijeat.c5605.049420 fatcat:5pmkjwar3zft3a2lodhpuf5jqe

Deep Learning based Early Detection and Grading of Diabetic Retinopathy Using Retinal Fundus Images [article]

Sheikh Muhammad Saiful Islam, Md Mahedi Hasan, Sohaib Abdullah
2018 arXiv   pre-print
In addition, the present approach of retinopathy detection is a very laborious and time-intensive task, which heavily relies on the skill of a physician.  ...  labels to retinal fundus images which are graded into five categories.  ...  At present, retinopathy detection system is accomplished by involving a well-trained physician manually detecting vascular abnormalities and structural changes of retina in the retinal fundus images, which  ... 
arXiv:1812.10595v1 fatcat:ysvzibv5fbaeljly6xnf2unhdq

EARLY DIAGNOSIS OF DIABETIC RETINOPATHY BY THE DETECTION OF MICROANEURYSMS IN FUNDUS IMAGES

Jeline Devadhas, R. Binisha
2018 ICTACT Journal on Image and Video Processing  
In this paper, an automated approach is proposed to detect microaneurysms from retinal fundus images.  ...  The threshold value is determined and is optimized using Firefly algorithm. Then top hat transform is applied to detect the microaneurysms.  ...  In [27] , a method for the detection of MAs in retinal images using ensemble classifier is elaborated.  ... 
doi:10.21917/ijivp.2018.0245 fatcat:nuofl3vsdramnhsgeshvn7cpii

A Wide-Ranging Review on Diabetic Retinotherapy

Toufique Ahmed Soomro, Ahsin Murtaza Bughio, Shahid Hussain Siyal, Ali Anwar Panwar, Nasreen Nizamani
2020 Quaid-e-awam University research journal of engineering science & technology  
From the past two decades, there is a tremendous advancement in the development of computerized system for DR detection.  ...  The paper also explains the techniques used for segmentation. In the end, the recent automated detection system of related eye diseases or DR is described.  ...  [149] suggested a different early-detection approach for DR and used the categorization of DR images into levels.  ... 
doi:10.52584/qrj.1802.25 fatcat:ux5kzu5dejgkzjbrw2p3q5bwzq

Stage 4 Takayasu Retinopathy With Persistent Neovascularization

Siti Amra Abd Rahman, Safinaz Mohd Khialdin, Rosiah Muda
2021 Cureus  
Dilated fundus examination showed bilateral stage 2 Takayasu retinopathy, evidenced by the presence of dilated retinal veins with microaneurysms.  ...  The patient was a 22-year-old woman who was diagnosed with Takayasu arteritis when she first presented with claudication while chewing and swallowing for one month.  ...  Acknowledgements We would like to thank Editage (www.editage.com) for English language editing.  ... 
doi:10.7759/cureus.16640 pmid:34462679 pmcid:PMC8386509 fatcat:tgh3dxyosve6taiiaku4sqgzua

Advances in Retinal Optical Imaging

Yanxiu Li, Xiaobo Xia, Yannis Paulus
2018 Photonics  
Retinal imaging has undergone a revolution in the past 50 years to allow for better understanding of the eye in health and disease.  ...  These improvements in technology have translated into early disease detection, more accurate diagnosis, and improved management of numerous chorioretinal diseases.  ...  The most useful integrated imaging system utilizes both multi-wavelength PAM and OCT. Tian et al.  ... 
doi:10.3390/photonics5020009 pmid:31321222 pmcid:PMC6639094 fatcat:dzd5e4l32verberxtihabe4e74

Approach for a Clinically Useful Comprehensive Classification of Vascular and Neural Aspects of Diabetic Retinal Disease

Michael D. Abramoff, Patrice E. Fort, Ian C. Han, K. Thiran Jayasundera, Elliott H. Sohn, Thomas W. Gardner
2018 Investigative Ophthalmology and Visual Science  
In such a system, a patient can have extensive DME without any microaneurysms or hemorrhages.  ...  An advantage of this approach would be continuity from a system that is currently in worldwide use, and the metrics can be obtained with devices that are commonly used.  ... 
doi:10.1167/iovs.17-21873 pmid:29372250 pmcid:PMC5786342 fatcat:d7nakgpy5bfddoczgctlopc77y

畳み込みニューラルネットワークを用いた眼底画像における毛細血管瘤の自動検出
Automatic Detection of Microaneurysms in Retinal Image by Using Convolutional Neural Network

Mitsuhiro MIYASHITA, Yuji HATANAKA, Kazunori OGOHARA, Chisako MURAMATSU, Wataru SUNAYAMA, Hiroshi FUJITA
2018 Medical Imaging Technology  
One of the early findings of diabetic retinopathy is microaneurysm. Microaneurysms look like dark small dots in the retinal images, thus it is difficult for physicians to detect them visually.  ...  First, retinal images were enhanced by using shape index based on Hessian matrix, double-ring filter and Gabor filter. Microaneurysm was then detected by using CNN.  ...  IEEE Trans Med Imaging 24: 584-592, 2005 [ 4 ] Pereira C, Veiga D, Mahdjoub J, et al.: Using a multi- agent system approach for microaneurysm, detection in fundus images.  ... 
doi:10.11409/mit.36.189 fatcat:r7eh7my6xbgu7pd4cwb3snlygy

ANN and SVM to recognize Texture features for spontaneous Detection and Rating of Diabetic Retinopathy

2019 International Journal of Engineering and Advanced Technology  
In this research work the fundus images are taken for processing, the neural network and support vector machine are trained for the proposed model.  ...  Fundus images are the fundamental tool for proper diagnosis of patients by medical experts.  ...  We express our gratefulness to all members of faculty for providing a varied grade dataset with good quality images.  ... 
doi:10.35940/ijeat.a2203.109119 fatcat:bzhtqjkijff3xke7qbloa523py

Retinal Imaging and Image Analysis

Michael D. Abramoff, Mona K. Garvin, Milan Sonka
2010 IEEE Reviews in Biomedical Engineering  
Methods for 2-D fundus imaging and techniques for 3-D optical coherence tomography (OCT) imaging are reviewed.  ...  A number of systemic diseases also affect the retina.  ...  for Vision Research, University of Iowa, by the Department of Veterans' Affairs Center of Excellence for the Treatment and Prevention of Visual Loss, and by the Department of Veterans' Affairs Merit program  ... 
doi:10.1109/rbme.2010.2084567 pmid:22275207 pmcid:PMC3131209 fatcat:5tnyvgeujfhovkwlmasuf7huja

UNRAVELLING DIABETIC RETINOPATHY THROUGH IMAGE PROCESSING, NEURAL NETWORKS AND FUZZY LOGIC – A REVIEW

Srinivasan A, Sudha S
2017 Asian Journal of Pharmaceutical and Clinical Research  
Papers were categorized based on the diagnosing tools and the methods used for detecting early and advanced stage lesions.  ...  This paper analyzed the various steps and different algorithms used recently for the detection and classification of DR lesions.  ...  Mookiah et al. in 2015 have reviewed various imaging modalities [14] used for diagnosing diabetic macular edema (DME), automated grading systems for DME with fundus images, techniques for detecting and  ... 
doi:10.22159/ajpcr.2017.v10i4.17023 fatcat:taxpycv3snbfdepmb4pylfq7iy
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