AUTOMATIC RECOGNITION OF EXUDATIVE MACULOPATHY USING FUZZY C-MEANS CLUSTERING AND NEURAL NETWORKS скачать в хорошем качестве

AUTOMATIC RECOGNITION OF EXUDATIVE MACULOPATHY USING FUZZY C-MEANS CLUSTERING AND NEURAL NETWORKS

Retinal exudates are typically manifested as spatially random yellow/white patches of varying sizes and shapes. They are a characteristic feature of retinal diseases such as diabetic maculopathy. An automatic method for the detection of exudate regions is introduced comprising image color normalization, enhancing the contrast between the objects and background, segmenting the color retinal image into homogenous regions using Fuzzy C-Means clustering, and classifying the regions into exudates and non-exudates patches using a neural network. Request source code for academic purpose, fill REQUEST FORM below or contact +91 7904568456 by WhatsApp, fee applicable. http://www.verilogcourseteam.com/requ... Like our Facebook Page:  / verilogcourseteam   Subscribe:   / verilogcourseteamelectricalprojects   Subscribe:   / @verilogcourseteammatlabproject   Subscribe:   / verilogcourseteam