The invention relates to the technical field of
sound wave measurement, in particular to an ultrasonic
image diagnosis system and method.According to the ultrasonic
image diagnosis system and method, matching between reflection characteristics and tissue characteristics is made to have the self-
adaptive learning ability through a deep neural network, the targeted recognition effect is improved in the aspect of
signal classification, and based on the judgment result of the reflection characteristics, the diagnosis accuracy is improved. When boundary partitioning is carried out on a tissue area, the
edge structure is judged by using the combination of three parameters of gray range,
gradient direction and texture continuity, contour fuzziness caused by single index judgment is avoided, and the boundary partitioning accuracy is improved by extracting a gray distribution center, an amplitude change track and an edge area continuous change sequence. And the region positioning result is input into a
support vector machine, accurate recognition of
lesion properties is realized according to boundary classification comparison of morphological structure quantitative features and historical benign and malignant
feature data, secondary
verification of the structural form is performed after the image is formed, and the diagnosis integrity and the judgment confidence are effectively improved.