C-SAN: Convolutional stacked autoencoder network for brain tumor detection using MRI

•Pre-processing is done by Non-Local Means (NLM) filter.•Image segmentation is done using V-Net.•Brain tumour is achieved by proposed C-SAN. Magnetic Resonance Imaging (MRI) is a medical imaging technique that uses strong magnetic fields and radio waves to generate detailed images of the brain and o...

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Bibliographic Details

Published in:	Biomedical signal processing and control Vol. 99; p. 106816
Main Authors:	Gayathiri, R., Santhanam, Suganthi
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2025
Subjects:	Brain tumor detection Computer Tomography (CT) Convolutional Neural Network (CNN) Deep Stacked Autoencoder (DSA) Magnetic Resonance Imaging (MRI) Magnetic Resonance Imaging (MRI) Deep Stacked Autoencoder (DSA) Convolutional Neural Network (CNN) Brain tumor detection Computer Tomography (CT)
ISSN:	1746-8094
Online Access:	Get full text
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