Two Methods of Non-invasive Automatic Classification for the Placental Function Using the Ultrasound Image
Zhi Liu · Fudan xuebao. Ziran Kexue ban · 2001
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.