首页> 外国专利> Automated method and system for the detection of lung nodules in low-dose CT image for lung-cancer screening

Automated method and system for the detection of lung nodules in low-dose CT image for lung-cancer screening

机译:低剂量CT图像中肺结节检测的自动化方法和系统,用于肺癌筛查

摘要

A method, system, and computer program product for detecting at least one nodule in a medical image of a subject, including identifying, in the medical image, an anatomical region corresponding to at least a portion of an organ of interest; filtering the medical image to obtain a difference image; detecting, in the difference image, a first plurality of nodule candidates within the anatomical region; calculating respective nodule feature values of the first plurality of nodule candidates based on pixel values of at least one of the medical image and the difference image; removing false positive nodule candidates from the first plurality of nodule candidates based on the respective nodule feature values to obtain a second plurality of nodule candidates; and determining the at least one nodule by classifying each of the second plurality of nodule candidates as a nodule or a non-nodule based on at least one of the pixel values and the respective nodule feature values. True-positive nodules are identified using linear discriminant analysis and/or a Multi-MTANN.
机译:一种用于检测受试者的医学图像中的至少一个结节的方法,系统和计算机程序产品,包括在医学图像中识别与感兴趣器官的至少一部分相对应的解剖区域;以及过滤医学图像以获得差异图像;在差异图像中,检测解剖区域内的第一多个结节候选;根据所述医学图像和所述差异图像中至少一个的像素值,计算所述第一组多个结节候选的各个结节特征值;根据各自的结节特征值从第一多个结节候选中去除假阳性结节候选,以获得第二多个结节候选;通过基于像素值和相应的结节特征值中的至少一个将第二多个结节候选中的每一个分类为结节还是非结节,来确定至少一个结节。使用线性判别分析和/或Multi-MTANN识别真阳性结节。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号