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System for detection of malignancy in pulmonary nodules

机译:肺结节恶性肿瘤检测系统

摘要

A method, computer program product, and system (100) for computerized analysis of the likelihood of malignancy in a pulmonary nodule using artificial neural networks (ANNs) (S4). The method, on which the computer program product and the system is based on, includes obtaining a digital outline of a nodule; generating objective measures corresponding to physical features of the outline of the nodule; applying the generated objective measures to an ANN; and determining a likelihood of malignancy of the nodule based on an output of the ANN. Techniques include novel developments and implementations of artificial neural networks and feature extraction for digital images. Output from the inventive method yields an estimate of the likelihood of malignancy (S7) for a pulmonary nodule.
机译:一种方法,计算机程序产品和系统( 100 ),用于使用人工神经网络(ANN)(S 4 )对肺结节的恶性可能性进行计算机分析。该方法是计算机程序产品和系统所基于的方法,包括获得结核的数字轮廓;以及产生与结节轮廓的物理特征相对应的客观测量;将产生的客观指标应用于人工神经网络;根据所述人工神经网络的输出确定所述结节的恶性可能性。技术包括人工神经网络的新开发和实施以及数字图像的特征提取。本发明方法的输出产生了肺结节的恶性可能性(S 7 )的估计。

著录项

  • 公开/公告号US6738499B1

    专利类型

  • 公开/公告日2004-05-18

    原文格式PDF

  • 申请/专利权人 ARCH DEVELOPMENT CORPORATION;

    申请/专利号US20010830574

  • 发明设计人 KATSUMI NAKAMURA;KUNIO DOI;

    申请日2001-07-02

  • 分类号G06K90/00;

  • 国家 US

  • 入库时间 2022-08-21 23:16:58

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