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公开(公告)号：WO0030021A9
公开(公告)日：2000-10-19
申请号：PCT/US9925998
申请日：1999-11-12
Applicant: ARCH DEV CORP , DOI KUNIO , NAKAMURA KATSUMI
Inventor： DOI KUNIO , NAKAMURA KATSUMI
CPC classification number: G06T7/0012 , G06K9/00127
Abstract: 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.
Abstract translation: 一种使用人工神经网络（ANN）（S4）对肺结节中的恶性可能性进行计算机化分析的方法，计算机程序产品和系统（100）。 计算机程序产品和系统所基于的方法包括获得结节的数字轮廓; 产生与结节轮廓的物理特征相对应的客观量度; 将所产生的客观措施应用于ANN; 以及基于ANN的输出确定结节恶性的可能性。 技术包括人工神经网络的新颖开发和实现以及数字图像的特征提取。 本发明方法的输出产生肺结节恶性可能性的估计（S7）。
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公开(公告)号：EP1129426A4
公开(公告)日：2002-08-21
申请号：EP99958770
申请日：1999-11-12
Applicant: ARCH DEV CORP
Inventor： DOI KUNIO , NAKAMURA KATSUMI
CPC classification number: G06T7/0012 , G06K9/00127
Abstract: 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.
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公开(公告)号：AU1606400A
公开(公告)日：2000-06-05
申请号：AU1606400
申请日：1999-11-12
Applicant: ARCH DEV CORP
Inventor： DOI KUNIO , NAKAMURA KATSUMI
Abstract: 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.
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