Progress in the Application of Artificial Intelligence in Ultrasound Diagnosis of Breast Cancer

Jerry Yao; Yuan Zou; Shuqian Du; Hong Wu; Bin Yuan

doi:10.54097/fcis.v6i1.11

Authors

Jerry Yao
Yuan Zou
Shuqian Du
Hong Wu
Bin Yuan

DOI:

https://doi.org/10.54097/fcis.v6i1.11

Keywords:

Breast Cancer, Artificial Intelligence, Ultrasonic Diagnosis, CAD

Abstract

The mammary gland is an important human organ that secretes milk and feeds offspring, while breast tumors are benign or malignant tumors that occur in the breast tissue. There are many causes of breast cancer, and the incidence continues to rise, which is an important killer that threatens women's health. In recent years, a large number of researchers have been interested in the study of AI diagnosis of breast cancer. Artificial intelligence uses a specific algorithm to intelligently process ultrasound images, and develops a high-precision and high-efficiency breast cancer recognition model through training and optimization of the algorithm. At present, the application of computer-aided detection methods in breast cancer ultrasound has been gradually promoted, and the combined application of artificial intelligence has played an advantageous role in the field of breast disease ultrasound diagnosis, such as shortening the examination time, effectively improving the detection rate and diagnostic accuracy rate. The main reasons are: the accuracy of traditional AI diagnosis model of breast cancer based on machine learning is not high; The aim of this paper is to improve the accuracy of early diagnosis of breast diseases effectively and reduce the misdiagnosis rate caused by overwork of doctors on the basis of clear medical images and computer-aided diagnosis technology.

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