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STANDALONE AUTOMATIC DISEASE SCREENING SYSTEM AND METHOD BASED ON ARTIFICIAL INTELLIGENCE

机译:基于人工智能的单机自动疾病巡检系统和方法

摘要

According to an embodiment of the present invention, an automatic disease diagnosis system comprises: a terminal which receives an image from an x-ray sensing device and converts the image into a transformation image of a lossless image file format; and a disease diagnosing device which performs a deep imaging process on the transformation image to generate an image to be analyzed, and applies a pre-learned image classification model to the image to be analyzed to classify the image to be analyzed into a positive image or a negative image. The disease diagnosing device transmits a diagnosis result including diagnosis information according to the classification result of the image to be analyzed to the terminal and the terminal displays the diagnosis result.
机译:根据本发明的实施例,一种自动疾病诊断系统包括:终端,其从x射线感测装置接收图像,并将该图像转换为无损图像文件格式的变换图像;以及疾病诊断装置,其对所述变换图像进行深度成像处理以生成待分析图像,并将预先学习的图像分类模型应用于待分析图像以将待分析图像分类为正图像或负面图片。疾病诊断设备将包括根据待分析图像的分类结果的诊断信息的诊断结果发送到终端,并且终端显示诊断结果。

著录项

  • 公开/公告号KR101941209B1

    专利类型

  • 公开/公告日2019-04-12

    原文格式PDF

  • 申请/专利权人 RADISEN CO. LTD.;

    申请/专利号KR20170119579

  • 发明设计人 SHIM WOO JUNG;RA YUNJU;

    申请日2017-09-18

  • 分类号G16C10;A61B6;G06K9/62;G06T5;

  • 国家 KR

  • 入库时间 2022-08-21 11:49:16

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