Publication Date: 2019/01/18
Abstract: Tumors are abnormal cell growths in the human body. Brain tumours need to be controlled and treated. Detecting brain tumors can be a challenging and especially in its early stages. Detecting tumours non-invasively from medical images is a good option for early detections. There are several hurdles in processing medical images for tumour detection. This paper proposes a novel technique that classifies and predicts tumours in the brain called AHCP. It is an automated technique with an accuracy of 95% in tumour detection.
Keywords: Brain Tumors, Image Segmentation, Image Classification, Tumour Prediction, Automated Tumour Detection.
DOI: No DOI Available
PDF: https://ijirst.demo4.arinfotech.co/https://ijisrt.com/wp-content/uploads/2018/12/IJISRT18NV341.pdf
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