An Automated Hybrid Classification and Prediction Technique (AHCP) for Identifying Brain Tumors from Images


Authors : S.Rathnadevi, Dr T.N.Ravi.

Volume/Issue : Volume 3 - 2018, Issue 11 - November

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/BJjYV4

Thomson Reuters ResearcherID : https://goo.gl/KTXLC3

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.

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