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18 results for “Retinal Image (RI)”
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Research ArticleOpen accessEvery word in the titleMULTIMODAL RETINAL IMAGE REGISTRATION USING RANSAC MATCHING AND GRADIENT ICP ALGORITHMP. Pradeepa, Ila. VennilaMultimodal retinal imaging is an important facet of the diagnosis and therapy of retinal disorders like retinopathy, occlusion. Many imaging techniques for multimodal retinal images are developing in the recent years. These novel developments are subjected to a tradeoff between the computational time and effective registration. This study aims at developing a new algorithm based on the RANSAC matching and … …Journal of Computer Science, Vol. 10, Issue 12 · 24 Dec 2014 · 7,740 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBLOOD VESSEL DIAMETER MEASUREMENT ON RETINAL IMAGENidhal K. El Abbadi, Enas Al SaadiAccurate measurement of vessel diameters on retinal images plays an important part in diagnosing cardiovascular diseases and early signs of certain systemic diseases, such as diabetes and hypertension. In this study we develop new method based on computer aided to determine the width of retinal blood vessels by analysing the color fundus image. Retinal vessel diameter was measured based on … …Journal of Computer Science, Vol. 10, Issue 5 · 18 Jan 2014 · 7,527 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Retinal Image Registration Using Mutual InformationPradeepa Palraj, Ila VennilaImage registration has tremendous applications in medical industry both in diagnosis and therapy. But registering the retinal images is very difficult task because of the structural and illumination criteria. Normal registration algorithms are proved to be less effective and more complicated for such applications. This study aims at combining two methods of retinal image registration: Vessel based and non-vessel based … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 18 Sep 2013 · 6,690 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRetinal Image Analysis for Abnormality Detection-An OverviewR. Karthikeyan, P. AlliProblem statement: Classification plays a major role in retinal image analysis for detecting the various abnormalities in retinal images. Classification refers to one of the mining concepts using supervised or unsupervised learning techniques. Approach: Diabetic retinopathy is one of the common complications of diabetes. Unfortunately, in many cases, the patient is not aware any symptoms until it is too late … …Journal of Computer Science, Vol. 8, Issue 3 · 24 Jan 2012 · 7,280 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTHE CLINICAL APPLICATIONS FOR AUTOMATIC DETECTION OF EXUDATESK. Wisaeng, N. Hiransakolwong, E. PothirukNowadays, the retinal imaging technology has been widely used for segmenting and detecting the exudates in diabetic retinopathy patients. Unfortunately, the retinal images in Thailand are poor-quality images. Therefore, detecting of exudates in a large number by screening programs, are very expensive in professional time and may cause human error. In this study, the clinical applications for detection of exudates … …American Journal of Applied Sciences, Vol. 11, Issue 10 · 27 Sep 2014 · 6,446 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIDENTIFICATION OF EXUDATES USING FUZZY MATHEMATICAL MORPHOLOGYKittipol Wisaeng, Nualsawat Hiransakolwong, Ekkarat PothirukDiabetic Retinopathy is the damage to the retina caused by complication and the most common cause of blindness in Thailand. Retinal image is essential for expert ophthalmologists to diagnose diseases. Several of method can achieve good performance on retinal feature are clearly visible. Unfortunately, the color retinal image in Thailand are low-resolution images. The existing method cannot identified low-resolution image. … …Journal of Computer Science, Vol. 10, Issue 5 · 18 Jan 2014 · 6,554 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAUTOMATIC RETINAL VESSEL TORTUOSITY MEASUREMENTNidhal Khdhair El Abbadi, Enas Hamood Al SaadiRetinal vascular vessels have the role to indicate the retinal diseases and for systematic diseases when there are any abnormalities in retinal vascular pattern. A characteristic of the vascular pattern that is appreciated by clinicians is vascular tortuosity, i.e., how curved or kinked a blood vessel, either vein or artery, appears along its course. In this study we suggest a … …Journal of Computer Science, Vol. 9, Issue 11 · 21 Sep 2013 · 7,210 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptiCNN: Local thresholding segmentation and CNN with SVM Approach for Diabetic Retinopathy Detection and Classification of Fundus ImagesAnju Mishra, Mrinal Pandey, Laxman SinghDiabetic Retinopathy (DR) is a progressive eye disease that can lead to vision loss and blindness if left untreated. Ophthalmologists diagnose DR using medical imaging modalities such as fundus photography and optical coherence tomography (OCT); however, manual interpretation of these images is time-consuming and subject to inter-observer variability. While DR is irreversible, vision loss can be prevented through early detection … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransforming Retinal Diagnostics: Advanced Detection of Diabetic Retinopathy Using Vision Transformers and Capsule NetworksVishal Sharma, Rishu, Vinay Kukreja et al.Diabetic Retinopathy (DR), nowadays is one of the leading causes of blindness worldwide, it is a severe complication of diabetes mellitus that affects the retina blood vessels. Accurate diagnosis depends on early detection of DR. The study aims to develop a hybrid model that is the combination of a Vision Transformer and Capsule Network (ViT-CapsNet) to classify the DR at … …Journal of Computer Science, Vol. 21, Issue 2 · 14 Jan 2025 · 6,755 accessesView PDFCite