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Method for distinguishing benign and malignant nodules

机译:良恶性结节的鉴别方法

摘要

A computerized scheme to assist radiologists in improving the diagnostic accuracy for abnormalities (e.g., nodules) in medical images by use of similar images for malignant abnormalities and benign abnormalities. The method includes developing a database of medical images which includes both confirmed cancers and confirmed benign abnormalities; obtaining a medical image including at least one abnormality; selecting at least one feature for comparison from an unknown abnormality and at least one known abnormality, respectively; determining a similarity measure between an unknown, undiagnosed abnormality and at least one of the previously diagnosed abnormalities; and selecting from the database of known abnormalities at least one known abnormality for comparison with the unknown abnormality in order to determine a likelihood of malignancy. In one embodiment, an artificial neural network is employed to determine a similarity measure between an unknown nodule and at least one known nodule.
机译:一种计算机化方案,可通过将类似图像用于恶性异常和良性异常来帮助放射线医师提高医学图像中异常(例如结节)的诊断准确性。该方法包括开发医学图像数据库,该数据库既包括已确认的癌症又包括已确认的良性异常;获得包括至少一种异常的医学图像;分别从未知异常和至少一种已知异常中选择至少一个特征进行比较;确定未知的,未诊断的异常与至少一个先前诊断的异常之间的相似性度量;从已知异常的数据库中选择至少一个已知异常与未知异常进行比较,以确定恶性可能性。在一个实施例中,采用人工神经网络来确定未知结节和至少一个已知结节之间的相似性度量。

著录项

  • 公开/公告号AU2002353850A8

    专利类型

  • 公开/公告日2003-06-10

    原文格式PDF

  • 申请/专利权人 UNIVERSITY OF CHICAGO;

    申请/专利号AU20020353850

  • 发明设计人 QIANG LI;KUNIO DOI;

    申请日2002-11-22

  • 分类号G06K9/00;

  • 国家 AU

  • 入库时间 2022-08-21 23:57:27

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