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...

Celý popis

Podrobná bibliografia

Vydané v:	Biomedical signal processing and control Ročník 99; s. 106816
Hlavní autori:	Gayathiri, R., Santhanam, Suganthi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2025
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!