A Bayesian Neo-Normal Mixture Model (Nenomimo) for MRI-Based Brain Tumor Segmentation

A Bayesian Neo-Normal Mixture Model (Nenomimo) for MRI-Based Brain Tumor Segmentation

The detection of a brain tumor through magnetic resonance imaging (MRI) is still challenging when the image is in low quality. Image segmentation could be done to provide a clear brain tumor area as the region of interest. In this study, we propose an improved model-based clustering approach for MRI...

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Bibliographic Details
Main Authors: Anindya Apriliyanti Pravitasari, Nur Iriawan, Kartika Fithriasari, Santi Wulan Purnami, Irhamah, Widiana Ferriastuti
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
MRI
image segmentation
neo-normal
mixture model
Bayesian
MCMC
Online Access:https://www.mdpi.com/2076-3417/10/14/4892

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