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Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs

Meindert Niemeijer, Bram van Ginneken, Michael J Cree, Atsushi Mizutani, Gwenole Quellec, Clara I Sanchez, Bob Zhang, Roberto Hornero, Mathieu Lamard, Chisako Muramatsu, Xiangqian Wu, Guy Cazuguel (+10 others)
2010 IEEE Transactions on Medical Imaging  
The detection of microaneurysms in digital color fundus photographs is a critical first step in automated screening for diabetic retinopathy (DR), a common complication of diabetes.  ...  In this work we present the results of the first international microaneurysm detection competition, organized in the context of the Retinopathy Online Challenge (ROC), a multiyear online competition for  ...  A digital color fundus photograph containing microaneurysms. This image is one of the images from the test set of the ROC microaneurysm detection competition.  ... 
doi:10.1109/tmi.2009.2033909 pmid:19822469 fatcat:gwzf5uri75fjdmjf5postq6btu

Digital Ocular Fundus Imaging: A Review

Rui Bernardes, Pedro Serranho, Conceição Lobo
2011 Ophthalmologica  
Several proposed approaches for the automatic detection of signs of disease onset and progression, such as microaneurysms, are surveyed.  ...  Digital Imaging The availability of digital cameras -from dedicated photographic cameras to cell phones -has quickly decreased the use of film-based imaging.  ...  In this work, the algorithm that won the 2009 Retinopathy Online Challenge Competition was compared with the algorithm in use, i.e. EyeCheck [82] .  ... 
doi:10.1159/000329597 pmid:21952522 fatcat:bzosmzdlb5flpgjromn7kdmhwm


Emmy Bhatti
2018 International Journal of Advanced Research in Computer Science  
in order to segment exudates in color fundus photographs.  ...  , Yugen Y, and Wenyou Du(2017), [32] IEEE Access Retinopathy Online Challenge (ROC) database Automatic Microaneurysm Detection Unsupervised classification method based on sparse posterior  ... 
doi:10.26483/ijarcs.v9i1.5368 fatcat:45tvpqgi5fb6hizwuwku2t3lfq

Automated detection of microaneurysms using robust blob descriptors

K. Adal, S. Ali, D. Sidibé, T. Karnowski, E. Chaum, F. Mériaudeau, Carol L. Novak, Stephen Aylward
2013 Medical Imaging 2013: Computer-Aided Diagnosis  
Microaneurysms (MAs) are among the first signs of diabetic retinopathy (DR) that can be seen as round dark-red structures in digital color fundus photographs of retina.  ...  The performance of the overall system is evaluated on Retinopathy Online Challenge (ROC) competition database.  ...  RESULTS The overall performance of the proposed automatic MA detection is evaluated on the Retinopathy Online Challenge (ROC ) competition public database training and testing images.  ... 
doi:10.1117/12.2007913 dblp:conf/micad/AdalASKCM13 fatcat:o2t7tpgu3bgtfd7vgx3w3v5h4y

Deep Learning Approach for Automatic Microaneurysms Detection

Muhammad Mateen, Tauqeer Safdar Malik, Shaukat Hayat, Musab Hameed, Song Sun, Junhao Wen
2022 Sensors  
In this case, accurate early detection of microaneurysms is helpful to cure DR before non-reversible blindness.  ...  Furthermore, the developed approach outperformed the state-of-the-art approaches in terms of sensitivity and specificity for microaneurysms detection.  ...  This work is partly supported by the National Natural Science Foundation of China (Grant No. 62072060). Sensors 2022, 22, 542  ... 
doi:10.3390/s22020542 pmid:35062506 pmcid:PMC8781897 fatcat:p5a53vpd3zel3ngwunvjidqhb4

A Systematic Review of Detection of Diabetic Retinopathy using Machine Learning Approach

2021 Journal of Critical Reviews  
Inflammatory illnesses in the posterior portion of fundus photography are followed by retinal imaging.  ...  retinopathy.  ...  [2] expressed that morphology segmentation and fuzzy logic were used and suggest a method for automatically detecting hard exudates in diabetic retinopathy from color fundus pictures.  ... 
doi:10.31838/jcr.06.6.237 fatcat:qmxtx53vxbbnzofs37o4jotmo4

Automated microaneurysm detection in diabetic retinopathy using curvelet transform

Syed Ayaz Ali Shah, Augustinus Laude, Ibrahima Faye, Tong Boon Tang
2016 Journal of Biomedical Optics  
Microaneurysms (MAs) are known to be the early signs of diabetic retinopathy (DR). An automated MA detection system based on curvelet transform is proposed for color fundus image analysis.  ...  A collection set of features was fed to a rule-based classifier to divide the candidates into MAs and non-MAs. The proposed system was tested with Retinopathy Online Challenge database.  ...  Shah was a recipient of Universiti Teknologi PETRONAS graduate assistantship scheme.  ... 
doi:10.1117/1.jbo.21.10.101404 pmid:26868326 fatcat:ja4op4zhjfd5hl4edxswhp255a

Automatic Detection of Microaneurysms in Retinal Image by Using Convolutional Neural Network

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.  ...  This paper describes about the automated microaneurysms detection by using CNN and the performance.  ...  .: Retinop- athy online challenge: Automatic detection of microan- eurysms in digital color fundus photographs. IEEE Trans 図 6 各段階での性能比較.  ... 
doi:10.11409/mit.36.189 fatcat:r7eh7my6xbgu7pd4cwb3snlygy

Advances in Retinal Imaging and Applications in Diabetic Retinopathy Screening: A Review

Beau J. Fenner, Raymond L. M. Wong, Wai-Ching Lam, Gavin S. W. Tan, Gemmy C. M. Cheung
2018 Ophthalmology and Therapy  
Rising prevalence of diabetes worldwide has necessitated the implementation of population-based diabetic retinopathy (DR) screening programs that can perform retinal imaging and interpretation for extremely  ...  While most current screening programs employ mydriatic or nonmydriatic color fundus photography and trained image graders to identify referable DR, new imaging modalities offer significant improvements  ...  Grading diabetic retinopathy from stereoscopic color fundus photographs—an exten- 46. Esteva A, et al.  ... 
doi:10.1007/s40123-018-0153-7 pmid:30415454 pmcid:PMC6258577 fatcat:5nxdlalenvhexl4bvvigd2p3tq

Diabetic Retinopathy detection through integration of Deep Learning classification framework [article]

Alexander Rakhlin
2017 bioRxiv   pre-print
This document represents a brief account of ongoing project for Diabetic Retinopathy Detection (DRD) through integration of state-of the art Deep Learning methods.  ...  fundus images.  ...  Currently, detecting DR is a time-consuming and manual process that requires a trained clinician to examine and evaluate digital color fundus photographs of the retina.  ... 
doi:10.1101/225508 fatcat:n6ebclf4ezht3j2cnnywa4336u

A Fuzzy clustering Approach for Micro Aneurysm Lesion Detection in Diabetic Retinopathy

Rajesh S R, Kanniga E, Sundararajan M
2020 International Journal of Research in Pharmaceutical Sciences  
Diabetic retinopathy (DR) be the significant difficulty of diabetes, and micro aneurysm (MA) is an earliest diabetic retinopathy lesion, making early detection of MA a key factor in diabetic retinopathy  ...  A procedure is suggested here that recognizes the first DR sign called MA using images from the retinal fundus. Effective diagnosis of DR is very critical in the defense of patients' right to see.  ...  Con lict of Interest The authors declare that they have no con lict of interest for this study.  ... 
doi:10.26452/ijrps.v11ispl4.3890 fatcat:nmssvjo53zapfiihqli6m3tj2m

Automated Early Detection of Diabetic Retinopathy

Michael D. Abràmoff, Joseph M. Reinhardt, Stephen R. Russell, James C. Folk, Vinit B. Mahajan, Meindert Niemeijer, Gwénolé Quellec
2010 Ophthalmology (Rochester, Minn.)  
Purpose-To compare the performance of automated diabetic retinopathy (DR) detection, using the algorithm that won the 2009 Retinopathy Online Challenge Competition in 2009, ('Challenge2009') against that  ...  Participants-Fundus photographic sets, consisting of two fundus images from each eye, were evaluated from 16,670 patient visits of 16,670 people with diabetes who had not previously been diagnosed with  ...  Another approach we chose to maximize performance was the organization of a worldwide online DR detection algorithm competition, the Retinopathy Online Challenge (, last  ... 
doi:10.1016/j.ophtha.2010.03.046 pmid:20399502 pmcid:PMC2881172 fatcat:gq6wudunsbhttplimk73i2zfvq

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.  ...  Moreover, the research gaps and challenges associated with this diabetic retinopathy detection and classification methods are discussed further, which directly paves way for future progressions.  ...  [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

Validating Retinal Fundus Image Analysis Algorithms: Issues and a Proposal

Emanuele Trucco, Alfredo Ruggeri, Thomas Karnowski, Luca Giancardo, Edward Chaum, Jean Pierre Hubschman, Bashir al-Diri, Carol Y. Cheung, Damon Wong, Michael Abràmoff, Gilbert Lim, Dinesh Kumar (+7 others)
2013 Investigative Ophthalmology and Visual Science  
For reasons of space and consistency, we concentrate on the validation of algorithms processing color fundus camera images, currently the largest section of the ARIA literature.  ...  This paper concerns the validation of automatic retinal image analysis (ARIA) algorithms.  ...  For instance, the winning team of the Retinopathy Online Challenge (provided in the public domain at http://roc., Niemeijer et al. 49 ), led by Quellec, achieved only 60% sensitivity  ... 
doi:10.1167/iovs.12-10347 pmid:23794433 pmcid:PMC4597487 fatcat:ittct3figzb45j7kgcqltqiscy

A Review on the Extraction of Quantitative Retinal Microvascular Image Feature

Kuryati Kipli, Mohammed Enamul Hoque, Lik Thai Lim, Muhammad Hamdi Mahmood, Siti Kudnie Sahari, Rohana Sapawi, Nordiana Rajaee, Annie Joseph
2018 Computational and Mathematical Methods in Medicine  
Digital image processing is one of the most widely used computer vision technologies in biomedical engineering.  ...  In the present modern ophthalmological practice, biomarkers analysis through digital fundus image processing analysis greatly contributes to vision science.  ...  This work has been supported in part by Special Short Term Grant (SpSTG) MyRA F02/SpSTG/1374/16/16.  ... 
doi:10.1155/2018/4019538 pmid:30065780 pmcid:PMC6051289 fatcat:cdobi3d3vjgp5atzuponk7xgre
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