Title: Automatic detection of brain cancer using cluster evaluation and image processing techniques

Authors: Bobbillapati Suneetha; A. Jhansi Rani

Addresses: ECE Department, Acharya Nagarajuna University, Guntur, AP, India ' ECE Department, V.R. Siddhartha Engineering College, Vijayawada, AP, India

Abstract: Brain cancer is perceived through radiologist utilising magnetic resonance imaging (MRI), which takes fundamentally a most outrageous time. Most of the brain tumour acknowledgment procedures give compound information about the brain tumour and they require in giving a correct result on nearness of tumour. The objective of this work is to develop a supporting system that would assist the radiologist with having beforehand said result which reduces the time taken as a primary concern tumour revelation. The proposed procedure includes following stages. At first, the MRI brain image is acquired from brain MRI image instructive gathering. In second stage, the picked up MRI image is given to the pre-processing stage, where the film craftsmanship marks are removed. In third stage, the high repeat parts are removed from MRI image using distinctive filtering techniques. Finally, the proposed method investigates the best upgrade methodology known as ant colony optimisation (ACO) is considered in this proposed work. The proposed techniques diminish the time unconventionality for brain tumour area which in like manner consolidates more exactness.

Keywords: image processing; improvement; median and adaptive filter; automatic detection; filtering; brain cancer; cluster evaluation.

DOI: 10.1504/IJAIP.2024.139953

International Journal of Advanced Intelligence Paradigms, 2024 Vol.28 No.1/2, pp.100 - 109

Received: 23 Apr 2018
Accepted: 11 Jun 2018
Published online: 15 Jul 2024 *

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