Novel approach to detect brain tumor by integrating edge detection mechanism with deep learningNovel approach to detect brain tumor by integrating edge detection mechanism with deep learning

Abstract

The main emphasis of current study is on the identification of brain tumours, and this research is taking into account edge detection, compression, noise removal and deep learning in order to reach the target of brain tumour detection with a high level of accuracy and performance. According to current study, edge extraction using deep learning techniques has been employed to increase performance during the identification of brain tumours. Deep learning and the diagnosis of brain tumours have been the subject of some study, however there is still a substantial difficulty with performance. The time savings that were obtained were a direct result of the incorporation of edge detection into the previously established deep learning system for the diagnosis of brain tumours. Deep learning has been used in order to train the MRI images. At least according to one dataset that is used in the training of deep neural networks, the human brain seems to be like a wall clock. When tumours have the form of a dish, it is much simpler to diagnose them. newline