Lavanya, N. and Nagasundaram, S. (2023) Improving Brain Tumor MRI Images with Pre-Processing Techniques for Noise Removal. In: 2023 International Conference on Sustainable Communication Networks and Application (ICSCNA), Theni, India.
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Improving Brain Tumor MRI Images with Pre-Processing Techniques for Noise Removal _ IEEE Conference Publication _ IEEE Xplore.pdf
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Abstract
The brain is a significant organ of the body that the nervous system regulates. Any system must be capable of detecting and analysing brain tumors, as demonstrated by the results of years of thorough study and procedural development. To increase the precision of tumor detection, this endeavour must incorporate an efficient automated system with powerful pre-processing. Techniques for noise reduction and enhancement are crucial in digital image processing. Brain cancers are frequently identified using magnetic resonance imaging (MRI) images. In this article, a method for pre-processing brain tumor images is suggested to analyse brain tumors. For the preparation of brain MRI images, several filters are applied. This study evaluates several filters using the outcome values to determine the optimum pre-processing.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Computer Science > Operating System |
Divisions: | Computer Science |
Depositing User: | Mr IR Admin |
Date Deposited: | 20 Sep 2024 11:41 |
Last Modified: | 20 Sep 2024 11:41 |
URI: | https://ir.vistas.ac.in/id/eprint/6767 |