Wang Zhicheng, He Bingbing, Zhang Yufeng, Li Zhiyao, Yao Ruihan, Huang Kai
The Department of Electronic Engineering, School of Information, Yunnan University, Kunming 650091, P. R. China.
The Department of Ultrasound, the Third Affiliated Hospital of Kunming Medical College, Kunming 650118, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2022 Apr 25;39(2):390-397. doi: 10.7507/1001-5515.202108015.
Early screening is an important means to reduce breast cancer mortality. In order to solve the problem of low breast cancer screening rates caused by limited medical resources in remote and impoverished areas, this paper designs a breast cancer screening system aided with portable ultrasound Clarius. The system automatically segments the tumor area of the B-ultrasound image on the mobile terminal and uses the ultrasound radio frequency data on the cloud server to automatically classify the benign and malignant tumors. Experimental results in this study show that the accuracy of breast tumor segmentation reaches 98%, and the accuracy of benign and malignant classification reaches 82%, and the system is accurate and reliable. The system is easy to set up and operate, which is convenient for patients in remote and poor areas to carry out early breast cancer screening. It is beneficial to objectively diagnose disease, and it is the first time for the domestic breast cancer auxiliary screening system on the mobile terminal.
早期筛查是降低乳腺癌死亡率的重要手段。为解决偏远贫困地区医疗资源有限导致乳腺癌筛查率低的问题，本文设计了一种借助便携式超声Clarius辅助的乳腺癌筛查系统。该系统在移动终端上自动分割B超图像的肿瘤区域，并利用云服务器上的超声射频数据自动对良性和恶性肿瘤进行分类。本研究的实验结果表明，乳腺肿瘤分割准确率达到98%，良恶性分类准确率达到82%，系统准确可靠。该系统易于搭建和操作，便于偏远贫困地区的患者进行早期乳腺癌筛查。有利于客观诊断疾病，是国内首次在移动终端上的乳腺癌辅助筛查系统。
