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《Journal of Fudan University》 2001-01
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Two Methods of Non-invasive Automatic Classification for the Placental Function Using the Ultrasound Image

MA Xiang1, WANG Yuan-yuan1, WANG Wei-qi1, CHANG Cai2, LIU Zhi2 (1. Department of Electronic Engineering, Fudan University, Shanghai 200433, China; 2. Shanghai Obstetrics and Gynecology Hospital, Shanghai 200011, China)  
An non-invasive automatic classification method is proposed based on the B model ultrasound images of the placenta of various gestational weeks. First of all several characteristic parameters are extracted from the images. Then together with the grading results of the doctor, the rules of automatic classification are established by two methods, the fuzzy classification and the quantification theory. Finally the performance of these two methods is compared with the clinical application. The results show that the non-invasive automatic classification method of the placental function can be feasibly used in clinic.
【Fund】: 国家自然科学基金资助项目! (3980 0 137)
【CateGory Index】: TB559
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6 MAO Jian-fei,YANG Xu-hua,TIAN Xian-zhong (Information Engineering Institute,Zhejiang University of Technology,Hangzhou 310032);The Study of Automatic Classification for Ultrasound Placenta Images Based on Adaptive Multiple Neural Networks[J];Journal of Image and Graphics;2006-07
7 LIU Zhi, CHANG Cai, MA Xiang, et al. Department of Ultrasound Diagnostics, Obstetric & Gynecologic Hospital,Medical Centre of Fudan University, Shanghai 200011, China;Primary study on automatic ultrasonic grading of placenta[J];Chinese Journal of Uitrasonography;2000-12
8 MA Xiang,WANG Yuan-yuam,WANG Wei-qi,CHANG Cai,LIU ZHi(1.Department of Electronic Engineering,Fudan University,Shanghai 200433;2.Obstetrics and Gynecology Hospital,Shanghai Medical University,Shanghai 200011);EYALUATING THE PLACENTAL FUNCTION DURING GESTATIONAL PERIOD USING THE FRACTAL CHARACTER OF ULTRASOUND IMAGES[J];Chinese Journal of Biomedical Engineering;2002-06
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