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1. 发明授权

US07418123B2 Automated method and system for computerized image analysis for prognosis 有权
标题翻译：计算机图像分析自动化方法和系统预后
公开(公告)号：US07418123B2
公开(公告)日：2008-08-26
申请号：US10617675
申请日：2003-07-14
申请人： Maryellen L. Giger , Ioana Bonta , Ruth Heimann , Robert M. Nishikawa , Carl J. Vyborny
发明人： Maryellen L. Giger , Ioana Bonta , Ruth Heimann , Robert M. Nishikawa , Carl J. Vyborny
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/11 , G06T7/187 , G06T2207/10088 , G06T2207/10132 , G06T2207/30068 , G06T2207/30096
摘要： An automated method for determining prognosis based on an analysis of abnormality (lesion) features and parenchymal features obtained from medical image data of a patient. The techniques include segmentation of lesions from radiographic images, extraction of lesion features, and a merging of the features (with and without clinical information) to yield as estimate of the prognosis for the specific case. An example is given for the prognosis of breast cancer lesions using mammographic data. A computerized image analysis system for assessing prognosis combines the computerized analysis of medical images of cancerous lesions with the training-based methods of assessing prognosis of a patient, using indicators such as lymph node involvement, presence of metastatic disease, local recurrence, and/or death. It is expected that use of such a system to assess the severity of the disease will aid in improved decision-making regarding treatment options.
摘要翻译：一种用于基于从患者的医学图像数据获得的异常（损伤）特征和实质特征的分析来确定预后的自动化方法。这些技术包括从放射照相图像分割病变，提取病变特征，以及特征（有和没有临床信息）的合并，以产生具体病例的预后估计。使用乳房X线摄影数据给出乳腺癌病变预后的一个例子。用于评估预后的计算机化图像分析系统将癌症病变的医学图像的计算机化分析与使用诸如淋巴结受累，转移性疾病的存在，局部复发的指标以及/或患者的评估患者预后的基于训练的方法相结合死亡。预计使用这样的系统来评估疾病的严重程度将有助于改善治疗方案的决策。

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