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VULNERABLE PLAQUE IDENTIFICATION METHOD, APPLICATION SERVER THEREOF, AND COMPUTER READABLE MEDIUM

机译:易损斑块识别方法,其应用服务器和计算机可读介质

摘要

The present disclosure publishes a vulnerable plaque identification method. The method includes: receiving an angiocarpy image sent by a terminal device; transforming the angiocarpy image in an original Cartesian coordinate system into a polar coordinate system to form a polarization image; constructing a faster RCNN architecture and accomplishing a training; inputting the polarization image into the faster RCNN architecture accomplished the training to identify the polarization image, and outputting the image with the marked vulnerable plaques; feed backing the image with the marked vulnerable plaques to the terminal device. The present disclosure also publishes an application server and a computer readable medium. The vulnerable plaque identification method, the application server, and the computer readable medium can quickly and correctly conform the position of the vulnerable plaque.
机译:本公开发布了易损斑块识别方法。该方法包括:接收终端设备发送的树皮图像;将原始笛卡尔坐标系中的血管骨图像转换为极坐标系,以形成偏振图像;构建更快的RCNN架构并完成培训;将偏振图像输入到更快的RCNN体系结构中,完成了训练以识别偏振图像,并输出带有标记的易损斑块的图像;将带有标记的易损斑块的图像反馈到终端设备。本公开还公开了一种应用服务器和计算机可读介质。易损斑块识别方法,应用服务器和计算机可读介质可以快速且正确地符合易损斑块的位置。

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