Review of automated diagnosis of diabetic retinopathy using the support vector machine

R., Priya; P., Aruna
January 2011
International Journal of Applied Engineering Research (0976-4259;2011, Vol. 1 Issue 4, p844
Academic Journal
The automated analysis of human eye fundus image is an important task . Diabetes is a disease which occurs when the pancreas does not secrete enough insulin or the body is unable to process it properly. This disease affects slowly the circulatory system including that of the retina . As diabetes progresses, the vision of a patient may start to deteriorate and lead to diabetic retinopathy. The main stages of diabetic retinopathy are nonproliferative diabetic retinopathy(NPDR) and proliferative retinopathy(PDR). In this paper, we have proposed a computer based approach for the detection of diabetic retinopathy stages using color fundus images . The features are extracted from the raw image, using the image processing techniques and fed to the support vector machine (SVM) for classification. The results showed a sensitivity of 99.45% for the classifier and specificity of 100%.


Related Articles

  • Detección de patologías derivadas de las afecciones diabéticas: una revisión del análisis digital de imágenes de retina. Rudas, Jorge; Sánchez Torres, Germán // Ingeniería y Desarrollo;jul-dic2013, Vol. 31 Issue 2, p316 

    Diabetic diseases affect the internal structures of the retina circulatory system. Diabetic retinopathy is considered the leading cause of blindness in adult populations; this aspect has motivated the development of several works related to the inclusion of computational techniques for analysis...

  • Classification of Fundus Photographs using Full Width Half Maximum Algorithm. Shivaram, Joshi Manisha; Patil, Rekha; Aravind, H. S. // International Journal of Computer Applications;Oct2011, Vol. 32, p19 

    A computerized semiautomatic system has been presented for classification of fundus photographs. This classification is based on feature vectors obtained from twin Gaussian Intensity Distribution and full width half maximum algorithm for vasculature diameter measurement. Diagnostic performance...

  • Sensitivity and specificity of nonmydriatic digital imaging in screening diabetic retinopathy in Indian eyes. Gupta, Vishali; Bansal, Reema; Gupta, Amod; Bhansali, Anil // Indian Journal of Ophthalmology;Aug2014, Vol. 62 Issue 8, p851 

    Background: Nonmydriatic digital imaging (NMDI) is ideal for screening diabetic retinopathy (DR), but its use in Indian eyes has not been evaluated. Aim: The aim was to evaluate the sensitivity and specificity of NMDI as a screening tool in detecting DR in Indian eyes. Design: A prospective,...

  • Diagnosis of Diabetic Retinopathy by Extracting Blood Vessels and Exudates using Retinal Color Fundus Images. G. S. ANNIE GRACE VIMALA; KAJAMOHIDEEN, S. // WSEAS Transactions on Biology & Biomedicine;2014, Vol. 11, p20 

    Diabetic retinopathy (DR) is the damage caused by complications of diabetes to the retina. It is one of the leading causes of blindness across the world. Hence, an accurate, premature diagnosis of DR is an essential task because of its potentiality for reducing the number of cases of blindness...

  • COMMENTS AND RESPONSE. Cundy, Tim; Nathan, David M.; Davis, Matthew; Cleary, Patricia; Lachin, John; Stumvoll, Michael; Fritsche, Andreas; Van Haeften, Timon; Gerich, John // Diabetes Care;Apr2001, Vol. 24 Issue 4, p794 

    Comments on the recommendation of the Diabetes Control and Complications Trial Research Group on the analysis of retinal changes among pregnant women with diabetes. Concern for women without diabetic retinopathy; Implications of an intensive surveillance; Contradictions.

  • Fundus Blood Vessels Detection Based on Pulse Coupled Neural Network. Wang Shuqin; Xiao Zhitao; Wu Jun; Geng Lei; Zhang Fang; Xi Jiangtao // International Journal of Digital Content Technology & its Applic;Aug2012, Vol. 6 Issue 15, p467 

    Precise fundus image blood vessels detection is an important step in diabetic retinopathy screening. In this paper, based on pulse coupled neural network (PCNN), a new fundus blood vessel detection method is proposed. In preprocessing, the contrast limited adaptive histogram equalization (CLAHE)...

  • AI Detects Retinopathy in Diabetics.  // Review of Optometry;11/15/2015, Vol. 152 Issue 11, p6 

    The article highlights California HealthCare Foundation (CHCF) in partnership with EyePACS arranged a competition to detect diabetic retinopathy (DR) in fundus images by using pattern-recognition learning process. The doctor who won the competition demonstrated the computer agreed 85 percent of...

  • Automatic Exudate Detection Using Eye Fundus Image Analysis Due to Diabetic Retinopathy. Gharaibeh, Nasr Y.; Al-Smadi, Ma'moun A.; Al-Jarrah, Mohammad // Computer & Information Science;May2014, Vol. 7 Issue 2, p48 

    Diabetic retinopathy (damage to the retina) is a disease caused by complications of diabetes, which can eventually lead to blindness. It is an ocular manifestation of diabetes, a systemic disease, which affects up to 80 percent of all patients who have had diabetes for 10 years or more. Despite...

  • Automatic Optic Disc Boundary Extraction from Color Fundus Images. Devasia, Thresiamma; Jacob, Paulose; Thomas, Tessamma // International Journal of Advanced Computer Science & Application;Jul2014, Vol. 5 Issue 7, p117 

    Efficient optic disc segmentation is an important task in automated retinal screening. For the same reason optic disc detection is fundamental for medical references and is important for the retinal image analysis application. The most difficult problem of optic disc extraction is to locate the...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics