Deep Learning Neural Network with Semi supervised Segmentation for Predicting Retinal and Cancer Cell Diseased

In medical field, diagnosis of diseases competently carried out by using the image processing. So that to retrieve the relevant data from the amalgamation of resulting image is too difficult. Here the segmentation done by semi supervised learning then the result is tuned by using Deep Learning Neural Network. Higher tuning of results will leads to efficient detection of disease. The experiment done by using retinal image data sets in order to predict any disease affected or not. The aim of this paper is to keenly predict diseased image or not by the efficient tuning of image. Keywords—segmentation; semi supervised learning; Neural network; Deep learning neural network.