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BioMed Research International
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2020
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Article
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Tab 6
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Research Article
A Novel Intelligent System for Brain Tumor Diagnosis Based on a Composite Neutrosophic-Slantlet Transform Domain for Statistical Texture Feature Extraction
Table 6
Comparison of proposed classification accuracy with recent techniques.
Author
Year
Techniques used on the same BraTS17 dataset
Classification accuracy (%)
Feature extraction
Classifier
Banerjee et al. [
10
]
2017
ConvNet model
DCNN
97.19
Cho et al. [
51
]
2018
Radiomic approach (ISZM, GLCM, SFB, and HBF)
Logistic, SVM, and RF
92.92
Sharif et al. [
9
]
2019
Scattering transform, wavelet transform, and local Gabor binary pattern
HCS-DBN
94.50
Raju et al. [
55
]
2019
SFTA and LBP
MSVM
96.90
Proposed work
GLRLM—composite NS-SLT
SVM-NN, DT-NN, KNN-NN, and NB-NN
98.94