Title: Identification and detection of brain tumour using deep learning-based classification MRI applied using neural network and machine learning algorithm

Authors: Biswaranjan Mishra; Kakita Murali Gopal; Srikant Patnaik; Bijay Kumar Paikaray

Addresses: GIET University, Odisha, India ' GIET University, Odisha, India ' SOA University, Odisha, India ' Center for Data Science, SOA University, Odisha, India

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.

Keywords: MRI; human brain; tumour; CNN; and Glioma; RNN.

DOI: 10.1504/IJRIS.2023.136350

International Journal of Reasoning-based Intelligent Systems, 2023 Vol.15 No.3/4, pp.228 - 234

Received: 13 Jul 2022
Accepted: 23 Sep 2022
Published online: 31 Jan 2024 *

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