Convolution neural network based brain tumour detection using efficient classification technique
Image processing has become an essential component in many fields of biomedical research such as tumor detection, automatically determining the volume of a heart chamber, screening brain scans for possible diseases. Different techniques for automatic detection of brain tumor involve various steps: image acquisition, segmentation, classification using neural network and optimization, and identification of tumor type. This paper presents a new approach to detect and segment brain tumors.