20 October 2020>: Clinical Research
Use of Radiomics to Predict Response to Immunotherapy of Malignant Tumors of the Digestive System
Zhi Ji 1BEF* , Yong Cui 2ABC* , Zhi Peng 1DEF* , Jifang Gong 1CE , Hai-tao Zhu 2CD , Xiaotian Zhang 1AE , Jian Li 1CE , Ming Lu 1CF , Zhihao Lu 1AD , Lin Shen 1AFG* , Ying-shi Sun 2AFG*DOI: 10.12659/MSM.924671
Med Sci Monit 2020; 26:e924671
Table 1 Classification of the extracted imaging features.
First-order gray-level statistical features (n=15) | Geometric features (n=16) | Second-order texture features (n=78) |
---|---|---|
Maximum gray valueMinimum gray valueMedianSumAverage valueStandard deviationVarianceKurtosisSkewness etc. | VolumeLong axis lengthShort axis lengthSurface areaEccentricityExtensionVolume of the cuboidMaximum perimeterDirection etc. | Gray-level co-occurrence matrix (glcm) (n=16)Gray-level run-length matrix (glrlm) (n=26)Gray-level size zone matrix (glszm) (n=26)Neighborhood gray-tone difference matrix (ngtdm) (n=10) |