Segmentation Algorithms for Retinal Image Analysis - Naluguru, Udaya Kumar; Tirumala, Ramashri
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Diabetic retinopathy (DR) is a snare of diabetes and is a critical purpose behind visual disability in many countries. Diabetic Retinopathy is a progressive disease that results from vascular injury due to chronic hyperglycemia. It is the leading cause of blindness in working age adults. Hence DR is one of the major diseases that cause severe threat to the eye, which causes thereby blindness among the people of any age.There are five algorithms developed for retinal image gradingEven though, different methods are available for retinal segmentation, there is still space for improvement. Manual…mehr

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Produktbeschreibung
Diabetic retinopathy (DR) is a snare of diabetes and is a critical purpose behind visual disability in many countries. Diabetic Retinopathy is a progressive disease that results from vascular injury due to chronic hyperglycemia. It is the leading cause of blindness in working age adults. Hence DR is one of the major diseases that cause severe threat to the eye, which causes thereby blindness among the people of any age.There are five algorithms developed for retinal image gradingEven though, different methods are available for retinal segmentation, there is still space for improvement. Manual segmentation of the retinal blood vessels is difficult and time-consuming, thus the developed algorithms are an automated algorithms which can provide better results over manual labeling.
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Autorenporträt
Dr.N.Udaya Kumar received the B.Tech degree in ECE from JNTUH, in 2004, M. Tech in Embedded Systems from JNTUA and the Ph. D. in Digital Image Processing from Sri Venkateswara University Tirupati, India, in 2008 and 2019, respectively.Presently working as Associate Professor in Marri Laxman Reddy Institute of Technology and management Hyderabad-43.