Radiomics model for distinguishing tuberculosis and lung cancer on computed tomography scans

doi:10.12998/wjcc.v8.i21.5203

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Nov 6, 2020 (publication date) through Jun 7, 2024

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World Journal of Clinical Cases

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2307-8960

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Clin Cases. Nov 6, 2020; 8(21): 5203-5212
Published online Nov 6, 2020. doi: 10.12998/wjcc.v8.i21.5203

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Figure 2 Boxplots of the eight radiomics features correlated with pulmonary tuberculosis vs lung cancer. A: Lbp-2D_firstorder_Entropy; B: Lbp-3D-k_firstorder_10Percentile; C: Log-sigma-3-0-mm-3D_glcm_Idn; D: Log-sigma-5-0-mm-3D_glrlm_RunLengthNonUniformity; E: Squareroot_gldm_DependenceNonUniformity; F: Wavelet-HLH_glcm_Idn; G: Wavelet-HLL_glcm_Idn; H: Wavelet-LLL_glcm_Idmn. TB: Tuberculosis; LC: Lung cancer.

Citation: Cui EN, Yu T, Shang SJ, Wang XY, Jin YL, Dong Y, Zhao H, Luo YH, Jiang XR. Radiomics model for distinguishing tuberculosis and lung cancer on computed tomography scans. World J Clin Cases 2020; 8(21): 5203-5212
URL: https://www.wjgnet.com/2307-8960/full/v8/i21/5203.htm
DOI: https://dx.doi.org/10.12998/wjcc.v8.i21.5203