Copyright
©The Author(s) 2024.
World J Gastrointest Oncol. Apr 15, 2024; 16(4): 1309-1318
Published online Apr 15, 2024. doi: 10.4251/wjgo.v16.i4.1309
Published online Apr 15, 2024. doi: 10.4251/wjgo.v16.i4.1309
Extraction method | Parameters |
Grayscale histogram (9) | Mean, variance, skewness, kurtosis, and percentiles (1%, 10%, 50%, 90%, and 99%) |
Grayscale co-occurrence matrix (55) | Angular second order distance, correlation, contrast, entropy, entropy sum, square sum, mean sum, mean difference, inverse distance, entropy difference, standard deviation |
Grayscale gradient (5) | Average gradient, gradient variance, gradient skewness, gradient kurtosis, non-zero gradient |
Long run matrices (25) | (Horizontal, vertical, 0°, 45°, 135°) Run length non-uniformity, gray value non-uniformity, long run enhancement, short run enhancement, fractional run |
- Citation: Nong HY, Cen YY, Qin M, Qin WQ, Xie YX, Li L, Liu MR, Ding K. Application of texture signatures based on multiparameter-magnetic resonance imaging for predicting microvascular invasion in hepatocellular carcinoma: Retrospective study. World J Gastrointest Oncol 2024; 16(4): 1309-1318
- URL: https://www.wjgnet.com/1948-5204/full/v16/i4/1309.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v16.i4.1309