The recognition of breast tumor based on ultrasonic image contour features / 生物医学工程学杂志

The purpose of this article is to evaluate the role of quantitative margin features in the computer-aided diagnosis of malignant and benign solid breast masses using sonographic imaging. The tumour was seperated by the expert. Three contour features circurity (C), area ratio (A) and length width ratio (LWR) was caculated from the tumour contour. Then back-propagation (BP) neural network with contour features was used to classify tumors into benign and malignant. Results from 119 ultrasonic images have been applied in this experiment. BP neural network yielded the following results: 89.7% and 73.5% respectively. The methods applied in this paper are helpful to raise the correctance of breast cancer diagnosis.

An Experimental Study of CAIMA in Vitro / 第二军医大学学报

To study the mechanism of CAIMA (Computer assisted instant monitoring drug administration), atracurium, a new non - depolarizing muscle relaxant was used in isolated rat diaphragm. The doses and administration rate were precisely controlled by using an improved flowing-bath system. The results showed that with increasing drug concentration, onset time shortened,over-shoot time prolonged, initial recovery rate reduced and onset rate, over-shoot extent and recovery index increased. The over-shoot existed at any pharmacologically effective concentrations and it was positively correlated to drug concentration. As a result of need-dependent and intermittent (pulsatil) drug administration, one maximally profited effect from over-shoot, that is, the effect could be maintained with over-shoot at the administration interval. Hence, the total dose could be dramatically reduced. Furthermore, for a given effect, it needs lower drug concentration with CAIMA than with classical methods and so the effect was nuch more stable.