Identification and detection of brain tumour using deep learning-based classification MRI applied using neural network and machine learning algorithm Online publication date: Wed, 31-Jan-2024
by Biswaranjan Mishra; Kakita Murali Gopal; Srikant Patnaik; Bijay Kumar Paikaray
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 15, No. 3/4, 2023
Abstract: Human brain is considered as the most sophisticated part of the body and used to consist of several neurons and biological components. The normal brain is usually functioning at an aspect of 93% for a healthy human. A brain tumour is a common disease nowadays and this disease usually leads to the accumulation of aberrant cells in certain brain tissues, which may cause the formation of dump cells in the brain. One of the most valuable approaches is the MRI images which can identify the various stages for the detection of the tumour. Here a variety of feature extraction and classification techniques are available and MRI pictures are used to identify brain tumours. Here in this paper, the convolutional neural network approach is discussed where the high-accuracy image classification technique for early tumour detection is used.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Reasoning-based Intelligent Systems (IJRIS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook