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Brain Tumor and Glioma Grade Classification Using Gaussian Convolutional Neural Network
Muhammad Rizwan
, Aysha Shabbir
, Abdul Rehman Javed
, Maryam Shabbir
, Thar Baker
, Dhiya Al-Jumeily Obe
School of Arch, Tech and Eng
Research output
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peer-review
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Keyphrases
Convolutional Neural Network
100%
Brain Tumor
100%
Glioma Grading
100%
Brain Tumor Grade
100%
Brain Glioma
100%
Grade Classification
100%
Tumor
66%
Glioma
66%
Magnetic Resonance Imaging
33%
Tumor Subtype
33%
Brain Diseases
33%
Image Quality
33%
Multi-class Classification
33%
Meningioma
33%
Pituitary
33%
Non-ionizing Radiation
33%
Brain Tumor Detection
33%
T1-weighted
33%
Grade Two
33%
Weighted Complexity
33%
Engineering
Gaussians
100%
Convolutional Neural Network
100%
Experimental Result
50%
Ionizing Radiation
50%
Neuroscience
Neural Network
100%
Intracranial Tumor
100%
Meningioma
20%
Magnetic Resonance Imaging
20%
Brain Disease
20%
Computer Science
Convolutional Neural Network
100%
Experimental Result
50%
Tumor Detection
50%
Material Science
Tumor
100%
Magnetic Resonance Imaging
14%