首页> 外国专利> Clinical decision support system to diagnose breast cancer genetic type by analyzing biopsy breast cancer tissue image

Clinical decision support system to diagnose breast cancer genetic type by analyzing biopsy breast cancer tissue image

机译:临床决策支持系统通过分析活检乳腺癌组织图像来诊断乳腺癌遗传类型

摘要

The present invention provides a system for diagnosing a genetic type by analyzing a breast cancer tissue image, comprising: a first step of photographing H&E staining images of normal breast tissue and cancer tissue; Step 2 of performing image deep learning learning by marking regions showing different patterns from normal; Step 3 of reading a tissue image in which the genetic type of breast cancer has been confirmed with an algorithm developed; step 4 of verifying the read and verifying the algorithm; Step 5 of reading an unidentified breast cancer genotype tissue image; Step 6 of reading unidentified breast cancer tissue through immunological and molecular analysis; and seven steps of verifying the final algorithm by comparing the artificial intelligence test results with the experimental results; it relates to a clinical decision support system for diagnosing a genetic type of breast cancer by analyzing a biopsy breast cancer tissue image.
机译:本发明提供了一种通过分析乳腺癌组织图像来诊断遗传型的系统,包括:拍摄正常乳腺组织和癌组织的H&E染色图像的第一步骤; 通过标记区域从正常的标记区域进行图像深度学习学习的步骤2; 读取组织图像的步骤3,其中通过开发的算法确认了遗传癌的遗传类型; 验证读取和验证算法的步骤4; 阅读未识别的乳腺癌基因型组织图像的步骤5; 通过免疫和分子分析读取未识别的乳腺癌组织的步骤6; 并通过比较人工智能测试结果与实验结果比较验证最终算法的七个步骤; 涉及一种通过分析活检乳腺癌组织图像来诊断遗传类型的乳腺癌的临床决策支持系统。

著录项

  • 公开/公告号KR20210136571A

    专利类型

  • 公开/公告日2021-11-17

    原文格式PDF

  • 申请/专利权人 우당네트웍 주식회사;

    申请/专利号KR20200054998

  • 发明设计人 임동영;이경열;

    申请日2020-05-08

  • 分类号G16H50/70;A61B10;G01N1/28;G01N1/30;G16H30;

  • 国家 KR

  • 入库时间 2022-08-24 22:30:35

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