©2010 Baishideng Publishing Group Co.
World J Radiol. Jun 28, 2010; 2(6): 215-223
Published online Jun 28, 2010. doi: 10.4329/wjr.v2.i6.215
Published online Jun 28, 2010. doi: 10.4329/wjr.v2.i6.215
Table 3 Image feature values used for CAD input data
| Image feature values |
| Temporal features |
| Replenishment time (s) |
| Peak pixel value |
| Slope factor (β) |
| Morphologic features |
| Effective diameter of focal liver lesion |
| Average size of vessel-like patterns |
| Area ratio of vessel-like patterns |
| Gray-level features |
| Average pixel value with vessel-like patterns |
| Average pixel value without vessel-like patterns |
| Standard deviation of pixel value with vessel-like patterns |
| Standard deviation of pixel value without vessel-like patterns |
| Average pixel value ratio (focal liver lesion/adjacent liver parenchyma) |
| Average pixel value ratio (central/peripheral) |
| Features for hypoechoic region |
| Average pixel value |
| No. of hypoechoic regions |
| Area ratio of hypoechoic region |
| Difference in pixel value (delay-early) |
| Change in pixel value (delay-early)/s |
- Citation: Sugimoto K, Shiraishi J, Moriyasu F, Doi K. Computer-aided diagnosis for contrast-enhanced ultrasound in the liver. World J Radiol 2010; 2(6): 215-223
- URL: https://www.wjgnet.com/1949-8470/full/v2/i6/215.htm
- DOI: https://dx.doi.org/10.4329/wjr.v2.i6.215