An Efficient Hybrid Fuzzy-Clustering Driven 3D-Modeling of Magnetic Resonance Imagery for Enhanced Brain Tumor Diagnosis

An Efficient Hybrid Fuzzy-Clustering Driven 3D-Modeling of Magnetic Resonance Imagery for Enhanced Brain Tumor Diagnosis

Brain tumor detection and its analysis are essential in medical diagnosis. The proposed work focuses on segmenting abnormality of axial brain MR DICOM slices, as this format holds the advantage of conserving extensive metadata. The axial slices presume the left and right part of the brain is symmetr...

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Bibliographic Details
Main Authors: Suresh Kanniappan, Duraimurugan Samiayya, Durai Raj Vincent P M, Kathiravan Srinivasan, Dushantha Nalin K. Jayakody, Daniel Gutiérrez Reina, Atsushi Inoue
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Electronics
Subjects:
mr brain segmentation
fuzzy clustering
object extraction
silhouette analysis
dicom processing
3d modeling
Online Access:https://www.mdpi.com/2079-9292/9/3/475

Internet

https://www.mdpi.com/2079-9292/9/3/475

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