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
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.
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.
