Cao Guitao, Shi Pengfei, Hu Bing
Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China.
IEEE Trans Biomed Eng. 2006 Oct;53(10):2116-9. doi: 10.1109/TBME.2006.880907.
In this paper, we present an experiment to extract liver features using two-dimensional phase congruency, which is invariant to changes in intensity or contrast, to try to avoid the influence of machine settings. The effectiveness of our method was tested on three classes of liver images and shows the potential for physicians to quantify liver pathology in clinical diagnosis.
在本文中,我们展示了一项使用二维相位一致性来提取肝脏特征的实验,二维相位一致性对强度或对比度的变化具有不变性,旨在避免机器设置的影响。我们的方法在三类肝脏图像上进行了测试,结果表明该方法在临床诊断中具有帮助医生量化肝脏病变的潜力。