Artificial Intelligence Medical Ultrasound Equipment: Application of Breast Lesions Detection.

Artificial Intelligence Medical Ultrasound Equipment: Application of Breast Lesions Detection. Ultrason Imaging. 2020 Jun 16;:161734620928453 Authors: Zhang X, Lin X, Zhang Z, Dong L, Sun X, Sun D, Yuan K Abstract Breast cancer ranks first among cancers affecting women's health. Our work aims to realize the intelligence of the medical ultrasound equipment with limited computational capability, which is used for the assistant detection of breast lesions. We embed the high-computational deep learning algorithm into the medical ultrasound equipment with limited computational capability by two techniques: (1) lightweight neural network: considering the limited computational capability of ultrasound equipment, a lightweight neural network is designed, which greatly reduces the amount of calculation. And we use the technique of knowledge distillation to train the low-precision network helped with the high-precision network; (2) asynchronous calculations: consider four frames of ultrasound images as a group; the image of the first frame of each group is used as the input of the network, and the result is respectively fused with the images of the fourth to seventh frames. An amount of computation of 30 GFLO/frame is required for the proposed lightweight neural network, about 1/6 of that of the large high-precision network. After trained from scratch using the knowledge distillation technique, the detection performance of the lightweight neur...
Source: Ultrasonic Imaging - Category: Radiology Tags: Ultrason Imaging Source Type: research