Detection of glioma on brain MRIs using adaptive segmentation and modified graph neural network based classification

Detection of glioma on brain MRIs using adaptive segmentation and modified graph neural network based classification

Gliomas constitute the prevalently seen brain tumours in humans. The real-time utilization of Computer Aided Diagnosis system depends on brain Magnetic Resonance Imaging (MRIs) has the ability of helping radiologists and professionals to identify the presence of glioma tumours. It is very difficult...

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Bibliographic Details
Main Authors: V. Nagasumathy, B. Paulchamy
Format: Article
Language:English
Published: Taylor & Francis Group 2023-10-01
Series:Automatika
Subjects:
Gliomas
image registration
shift-invariant shear let transform (SIST)
improved fuzzy c-means (IFCM) clustering
grey level co-occurrence matrix (GLCM) and discrete wavelet transform (DWT)
modified graph neural network (MGNN)
Online Access:https://www.tandfonline.com/doi/10.1080/00051144.2023.2256521

Internet

https://www.tandfonline.com/doi/10.1080/00051144.2023.2256521

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