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. Author manuscript; available in PMC: 2020 Jun 4.
Published in final edited form as: IEEE Trans Med Imaging. 2019 Dec 30;39(6):2013–2024. doi: 10.1109/TMI.2019.2963177

TABLE II.

SUMMARY OF ALL THE MODELS USSED IN THIS STUDY.

No. Classifier Input Type Input Model Name
1 CNN CT image based Random selected slice image R-IMG
2 Center slice image C-IMG
3 Random selected slice image with its HOG and LBP feature map R-Hybrid
4 Center slice image with its HOG and LBP feature map C-Hybrid
5 Multiple slices image M-IMG
6 Multiple slices image with their HOG and LBP feature maps M-Hybrid
7 Volumetric 3D images 3D-IMG
8 GLCM based GLCM from random selected slice image R-GLCM
9 GLCM from center slice image C-GLCM
10 GLCM from multiple slices image M-GLCM
11 GLCM from 3D image 3D-GLCM
12 Random Forest Texture Feature based Haralick features HF
13 Extend Haralick features eHF