Brain Tumor Segmentation using Contextual Clustering and Object Labeling in MRI

Brain tumor segmentation in MRI images is one of the challenging tasks in medical field. In this work, an efficient brain tumor is detection methodology is proposed for the MRI images. Image preprocessing filters are used to remove noises from the images. Contextual clustering extracts the tumor reg...

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Bibliographic Details
Published in:Research journal of pharmacy and technology 2020-04, Vol.13 (4), p.1835-1836
Main Authors: Sheeba, G. Merlin, Premi, M. S. Godwin, Valantina, G. Mary, Livinsa, Z. Mary
Format: Article
Language:English
Subjects:
Algorithms
Brain cancer
Brain research
Cerebrospinal fluid
Clustering
Hypotheses
Labeling
Magnetic resonance imaging
Medical imaging
Methods
Morphology
Neuroimaging
Noise
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Summary:Brain tumor segmentation in MRI images is one of the challenging tasks in medical field. In this work, an efficient brain tumor is detection methodology is proposed for the MRI images. Image preprocessing filters are used to remove noises from the images. Contextual clustering extracts the tumor regions from the images Object labeling is also performed following the contextual clustering. The simulation results show that the proposed technique has achieved 94% of efficiency. KEYWORDS: Contextual clustering, object labeling, Segmentation.
ISSN:0974-3618
0974-360X
0974-306X
DOI:10.5958/0974-360X.2020.00330.3