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Madhura Jagannath Paranjpe .
2014 International Journal of Research in Engineering and Technology  
This paper reviews various methods of diabetic retinopathy detection and classification into different stages based on severity levels and also, various image databases used for the research purpose are  ...  Though the Manual screening methods are available, they are time consuming and inefficient on a large image database of patients. Moreover, it demands skilled professionals for the diagnosis.  ...  Kakatkar, Professor in Department of Electronics and Telecommunication Engineering, Sinhgad college of Engineering, Wadgaon (BK), Pune-41, for the motivation, technical suggestions and constructive criticism  ... 
doi:10.15623/ijret.2014.0303115 fatcat:zlrhffjh3jgtfmhl2ssnsvkfia

Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application

Luca Saba, Skandha S. Sanagala, Suneet K. Gupta, Vijaya K. Koppula, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. S kakis, Athanasios Protogerou (+13 others)
2021 Annals of Translational Medicine  
Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality in the United States of America and globally.  ...  We conclude that AI-based solutions offer an accurate and robust path for tissue characterization and classification for carotid artery plaque imaging in all three imaging modalities.  ...  In the DL model, all acquired grayscale images are fed into the convolution layers. This process is followed by maxpooling/average pooling layers for automatic feature extraction.  ... 
doi:10.21037/atm-20-7676 fatcat:2zuwvhfq3nbplangoriejpvg6a

Diabetic Retinopathy Screening using Machine Learning for Hierarchical Classification

Later, feature based hierarchical classification is performed for detection of different stages of the disease.  ...  Given the fact that number of ophthalmologists is very less as compared to the patients, a cost-effective, computer assisted, automated retina analysis system is highly desirable for the rural health care  ...  Five Law texture features measure features by calculating average grey level, wave, spot, ripple, and edges. For better perception of color, opponent color space is considered.  ... 
doi:10.35940/ijitee.j9277.0881019 fatcat:a7zec2ykrjemrcfro626rcgyuq

Role of GLCM Features in Identifying Abnormalities in the Retinal Images

Shantala Giraddi, Jagadeesh Pujari, Shivanand Seeri
2015 International Journal of Image Graphics and Signal Processing  
In this paper authors present the performance comparison of two feature extraction methods namely color intensity features and second order texture features based on GLCM.  ...  Accurate detection of exudates in the diabetic retinal images is a challenging task. The images can have varying contrast and color characteristics.  ...  These objective measurements are finally fed to the artificial neural network (ANN) classifier for the automatic classification of retinal images.  ... 
doi:10.5815/ijigsp.2015.06.06 fatcat:p62fxqbi4jc7xmikpbzjavfixa

Retinal Image Analysis Using Morphological Process and Clustering Technique

Radha R, Bijee Lakshman
2013 Signal & Image Processing An International Journal  
This paper proposes a method for the Retinal image analysis through efficient detection of exudates and recognizes the retina to be normal or abnormal.  ...  A simple thresholding method along with opening and closing operation indicates the remained ridges belonging to vessels. The clustering method is used for effective detection of exudates of eye.  ...  Kullayamma,( 2013),made a system on Retinal Image Analysis for Exudates Detection in which classification of a glaucomatous image was done using texture features within images and was effectively classified  ... 
doi:10.5121/sipij.2013.4605 fatcat:h57rmkuz7rh6rddux45iaciw3m

Segmentation and texture analysis with multimodel inference for the automatic detection of exudates in early diabetic retinopathy

Jack Lee, Benny Zee, Qing Li
2013 Journal of Biomedical Science and Engineering  
The texture analysis involves three components: they are statistical texture analysis, high order spectra analysis, and fractal analysis.  ...  Diabetic retinopathy (DR) is an eye disease caused by the increase of insulin in blood and may cause blindness if not treated at an early stage. Exudates are the primary sign of DR.  ...  The following are discussion of methods from the approach of statistical texture analysis, HOS and fractal analysis. 1) Statistical based texture analysis for image processing All related texture features  ... 
doi:10.4236/jbise.2013.63038 fatcat:j74pxkq4lrc3lcnchkxjrdrfry

Automated detection of age-related macular degeneration in color fundus photography: A systematic review

E. Pead, R. Megaw, J. Cameron, A. Fleming, B. Dhillon, E. Trucco, T. MacGillivray
2019 Survey of ophthalmology  
Manual labeling of drusen on color fundus photographs by a human is labor intensive and is where automatic computerized detection would appreciably aid patient care.  ...  We review and evaluate current artificial intelligence methods and developments for the automated detection of drusen in the context of age-related macular degeneration.  ...  Study designs and populations The 14 studies involve 4 publicly available data sets (i.e., automatic retinal image analysis, 62 STructured Analysis of the REtina, 26 Age Related Eye Disease Study [  ... 
doi:10.1016/j.survophthal.2019.02.003 pmid:30772363 pmcid:PMC6598673 fatcat:7xs4q6zvdrgrbad4uqqewsiuca

Progress on retinal image analysis for age related macular degeneration

Yogesan Kanagasingam, Alauddin Bhuiyan, Michael D. Abràmoff, R. Theodore Smith, Leonard Goldschmidt, Tien Y. Wong
2014 Progress in retinal and eye research  
One of the main measures of AMD severity is the analysis of drusen, pigmentary abnormalities, geographic atrophy (GA) and choroidal neovascularization (CNV) from imaging based on color fundus photograph  ...  However, the Age-Related Eye Disease Study (AREDS) showed that specific anti-oxidant vitamin supplementation reduces the risk of progression from intermediate stages (defined as the presence of either  ...  Automatic techniques for color fundus imaging for "dry" AMD Existing algorithms for early and late "dry" AMD screening using color fundus image analysis mainly focus on the detection and quantification  ... 
doi:10.1016/j.preteyeres.2013.10.002 pmid:24211245 fatcat:32kzwud635aexpvelxusqkqyzm

Review of Medical Image Classification using the Adaptive Neuro-Fuzzy Inference System

Monireh Sheikh Hosseini, Maryam Zekri
2012 Journal of Medical Signals & Sensors  
Automatic medical image classification is a progressive area in image classification, and it is expected to be more developed in the future.  ...  The objective of ANFIS is to integrate the best features of fuzzy systems and neural networks.  ...  Figure 4 illustrates the BRA and SRA features and results of the BWM on normal eye image. In [39] the authors make use of ANFIS for automatic screening of diabetic retinopathy in fundus images.  ... 
pmid:23493054 pmcid:PMC3592505 fatcat:e52eavs36zhfhihnbfoyf5cigi

Automated Diabetic Retinopathy Screening System Using Hybrid Simulated Annealing and Ensemble Bagging Classifier

Syna Sreng, Noppadol Maneerat, Kazuhiko Hamamoto, Ronakorn Panjaphongse
2018 Applied Sciences  
Then, eight feature extractors were utilized to extract a total of 208 features based on the pixel density of the binary image as well as texture, color, and intensity information for the detected regions  ...  However, in addition to the insufficient number of ophthalmologists available, the eye examination itself is labor-intensive and time-consuming.  ...  Syna Sreng) for his study at King Mongkut's Institute of Technology Ladkrabang (KMITL), THAILAND, and Bhumibol Adulyadej Hospital for providing the fundus images.  ... 
doi:10.3390/app8071198 fatcat:e47whhea6vbulgtmrk6uzxe4ae

An Early Screening System for the Detection of Diabetic Retinopathy using Image Processing

B. Ramasubramanian, G. Prabhakar
2013 International Journal of Computer Applications  
An automatic system to detect and localize the presence of exudates from color fundus images with non-dilated pupils is proposed.  ...  Feature vector based on color and texture are extracted from the selected segment using GLCM .  ...  All of the colour information is in the a* and b* layer. The difference between two colors can be measured using the Euclidean distance.  ... 
doi:10.5120/10002-4864 fatcat:mvy6uou7rvf73jnmwhbbj2qmzq

Acceleration of Tear Film Map Definition on Multicore Systems

Jorge González-Domínguez, Beatriz Remeseiro, María J. Martín
2016 Procedia Computer Science  
Among the clinical tests for its diagnosis, the evaluation of the interference patterns observed in the tear film lipid layer is often employed.  ...  Dry eye syndrome is a public health problem, and one of the most common conditions seen by eye care specialists.  ...  Acknowledgments We would also like to thank the Optometry Service from the University of Santiago de Compostela (Spain) and the Center of Physics from the University of Minho (Portugal) for providing us  ... 
doi:10.1016/j.procs.2016.05.296 fatcat:k63x7yfll5anrckkwaskkxhmee

Designing of Computer Aided Diagnostic System for the Identification of Exudates in Retinal Fundus Images
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santosh kumar mishra, Deepti Mittal, Ramesh kumar sunkaria
2015 Journal of Biomedical Engineering and Medical Imaging  
The automatic system for early detection of diabetic macular edema should identify all possible exudates present on the surface of retina.  ...  In the proposed work, a computer added diagnosis system is design for the identification of the exudates in color retinal fundus images.  ...  SVM is a supervised learning model with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis.  ... 
doi:10.14738/jbemi.23.1278 fatcat:lzpxgp6ylnelnddmulklgl3cmy

An Efficient Approach for Detection of Exudates in Diabetic Retinopathy Images Using Clustering Algorithm

G.S.Annie Grace Vimala
2012 IOSR Journal of Computer Engineering  
Automatic Recognition of DR lesions like Exudates, in digital fundus images can contribute to the diagnosis and screening of this disease.  ...  To classify these segmented regions into Exudates and Non-Exudates, a set of features based on colour and texture are extracted.  ...  INTRODUCTION The retina is the inner and most important layer of the eye. It is composed of several important anatomical structures which can indicate various diseases.  ... 
doi:10.9790/0661-0254348 fatcat:upjkhxtpcbddvlntppgshqb5vu

Emerging Feature Extraction Techniques for Machine Learning-Based Classification of Carotid Artery Ultrasound Images

S. Latha, P. Muthu, Samiappan Dhanalakshmi, R. Kumar, Khin Wee Lai, Xiang Wu, Xin Ning
2022 Computational Intelligence and Neuroscience  
A total of 361 images were used for feature extraction, which will assist in further classification of the carotid artery.  ...  This study presents the extraction of 65 features, which constitute of shape, texture, histogram, correlogram, and morphology features.  ...  Acknowledgments e authors are grateful to the SRM Institute of Science and Technology, Universiti Malaya, and Xuzhou Medical University. is work was supported in part by Universiti Malaya, and ACU UK under  ... 
doi:10.1155/2022/1847981 fatcat:s6slvt6k7zgnpmucfsqa2la4d4
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