International Research Journal of Education and Technology

Deep Learning (DL) algorithms are used for computational models which consist of number of processing layers that represent data with multiple levels of data filtration.Brain tumors can be ahuge defect of threats such as mental illness and mental disasters. Rapid and early recognition ofbrain tumor is easy for recovery. A smart system for identifying and classifying braintumors is important to help medical experts. Medical image processing using a convolutionneural network (CNN) is being giving better results. The tool debugs the problem-solvingprocess of each CNN model. A critical section to show the drawbacks of deep learningtechniques has been included at the end to establish open research challenges and ways for futurework in this crucial area, of areas of medical heath care such as pathology, brain tumor, heartdeep learning has dynamically been changing and changed the means of identification, and recognizing effectively in number cancer, cardiac, and back, the major of thisarticle is to preview major deep learning concepts to brain tumor analysis.

Keywords: pathology, deep-Learning, cardiac, convolution neural network (CNN).