This is the 7th leading death causes disease in world. By 2022 the cases may be increased to triple the count of now. As per the report of world health organization nearly 55 million people are living with AD in worldwide and for every year 10 million new cases are developed. As per a report of Alzheimer’s Association in worldwide every 10 of 100,000 people are developing AD each year. 6.2 million US people are living with AD and may be increased by 8.6 million by 2030. In India more than 5 million people are affected by the Alzheimer’s disease (AD), it may be increased to 7.6 million by 2030. The main objective of this paper is to build up an efficient Computer Assisted Diagnosis (CAD) system for the detection of anomalies from medical eye images to help ophthalmologists for identifying diabetic maculpathy, easily.Īlzheimer’s disease is an elderly chronic disease, which affects the people with age more than 60. CNN appears a higher performance prior to the accuracy rather than the traditional techniques. A Convolutional Neural Network (CNN) is used to classify the normal and abnormal cases. A threshold histogram curve is generated based on predefined images with and without exudates for classification of images in the testing phase. A cumulative histogram is further generated for discrimination between image with and without exudates. A gradient process is performed on the image. The next step is working on an image with exudates only if existing. After that, the segmentation process is performed to determine the optic disc and blood vessels to remove them. The proposed framework begins with fuzzy image enhancement of eye images for contrast enhancement in order to better represent objects of the images. Detection of exudates in eye images is used for diagnosis of the maculpathy disease. Manual detection of diabetic maculpathy is time consuming and it needs much effort from ophthalmologists. Automatic detection of maculopathy disease is a very important step to achieve high-accuracy results for the early discovery of diseases and help ophthalmologists to treat patients.
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