Brain Tumour Detection Using Machine Learning
Manav Sharma, Pramanshu Sharma, Ritik Mittal, Kamakshi Gupta
Abstract
This paper presents a model which is based on machine learning algorithms to detect brain tumours from magnetic resonance images with high accuracy. A Convolutional Neural Network (CNN) has been used as the algorithm for feature extraction, and segmentation. The dataset used has been acquired from an internet website. The results show that this technique is promising and the accuracy of 97.79% has been achieved.
Topics & Concepts
Convolutional neural networkComputer scienceArtificial intelligenceSegmentationPattern recognition (psychology)Feature extractionMachine learningFeature (linguistics)Artificial neural networkThe InternetDeep learningWorld Wide WebPhilosophyLinguisticsBrain Tumor Detection and ClassificationAdvanced Neural Network Applications