Retinal fundus images are used to discover many diseases. Several Machine learning algorithms designed identify the Glaucoma disease. But accuracy and time consumption performance were not improved. To address this problem Max Pool Convolution Neural Kuan Filtered Tobit Regressive Segmentation based Radial Basis Image Classifier (MPCNKFTRS-RBIC) Model is for detecting Stargardt’s disease by ear...

: Advancements in image processing and computing has lead to its use in various applications in medical imaging. In the field of ophthalmology, retinal analysis is used for medical diagnosis and detection of the diseases. Various diseases such as diabetic retinopathy, age-related macular degeneration, muscular dystrophy can be easily diagnosed using automated diagnostic systems, thus providing ...

The analysis of retinal images is becoming a vital medical tool to predict retinopathy and other retinal impairments. The algorithms implemented on CPU are able to process retinal images. However, the algorithms running on CPU are executed sequentially. This is due to the hardware limitation of CPU. GPU are having inherent hardware architecture to enable parallel implementation of image process...