Portable ultrasonic breast tumor cloud classification system and method

Abstract

The invention discloses a portable ultrasonic breast tumor cloud classification system and method. The portable ultrasonic breast tumor cloud classification system comprises a portable ultrasonic probe, a mobile terminal and a cloud computing server module; the portable ultrasonic probe is in communication connection with the mobile terminal; the mobile terminal is in communication connection with the cloud computing server module; the portable ultrasonic probe collects breast ultrasonic data information and transmits the breast ultrasonic data information to the mobile terminal; the mobile terminal converts and segments the breast ultrasonic data information to obtain tumor area data information, and transmits the tumor area data information to the cloud computing server module; and the cloud computing server module identifies and classifies the received tumor area data information and transmits a tumor classification result back to the mobile terminal. According to the system, portable ultrasound, a computer technology, an ultrasonic radio frequency signal and cloud computing are combined, and the problems that large ultrasonic equipment is difficult to enter remote areas, professional doctors are lacked for breast tumor classification, and the classification accuracy depends on B-mode ultrasound images are solved.

Description

technical field [0001] The invention relates to the field of ultrasonic breast cancer automatic diagnosis, in particular to a portable ultrasonic breast tumor classification system and method based on cloud computing. Background technique [0002] Breast cancer has become the highest incidence of female cancer, with the characteristics of high incidence, younger age, and faster growth. As the grade of breast cancer deepens, its five-year survival rate decreases accordingly. When people start to screen for breast cancer, they can be found and treated in the early stage of breast cancer, so that the mortality rate of breast cancer can be significantly reduced, so early screening can significantly improve the survival rate. [0003] The commonly used examination methods for breast cancer are imaging examinations, mainly including ultrasonography, X-ray examination, magnetic resonance imaging (MRI) and so on. X-ray was considered to be the most important means of judging benig...

AI Technical Summary

Problems solved by technology

The level of medical personnel in poverty-stricken areas is not high, and it is difficult to make accurate and effective tumor classification

[0006] In summary, whether it is manual classification or computer-aided classification, the existing technology is based on B-ultrasound images to judge, low-quality B-ultrasound images will lead to blurred images, loss of boundaries, and seriously affect the accuracy of classification

Images