Abstract
Ultrasonography is indispensable in diagnosis of various malignant tumors. Large variances in distinguishing between benign and malignant tumors are due to the fact that description evaluations and diagnostic method/expertise vary widely among individual physicians. Variable description evaluation is mainly due to image diagnosis fuzziness. We describe an ultrasonographic-based (ultrasonic tomogram) cancer diagnosis system which takes into account image diagnosis fuzziness and applies fuzzy theory. The system is used to distinguish between benign and malignant thyroid nodules and to diagnose prostatic cancer. We also discuss application of fuzzy theory to medical image diagnosis.
