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.

CALL FOR PAPERS


Paper Submission Last Date
31 - March - 2024

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe