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AUTOMATIC IMAGE REGISTRATION QUALITY EVALUATION

机译:自动图像注册质量评估

摘要

PROBLEM TO BE SOLVED: To provide a mechanism for evaluating quality of automatic image registration.;SOLUTION: A medical registration training component executed in a medical registration system executes a medical registration training operation to a pair of medical studies. When it is determined that the training operation succeeded, the medical registration instance is marked as a positive instance, in medical registration history. When it is determined that the training operation is required to be corrected, the medical registration instance is marked as a negative instance. The medical registration training system trains a failure prediction machine learning model based on the medical registration history using machine learning, so that a failure prediction machine learning model predicts whether or not a new medical registration operation is required to be corrected, and in response to the prediction, performs a step for automatically correcting the new medical registration operation.;SELECTED DRAWING: Figure 3;COPYRIGHT: (C)2019,JPO&INPIT
机译:解决的问题:提供一种评估自动图像配准质量的机制。解决方案:在医疗配准系统中执行的医疗配准培训组件对一对医学研究执行医疗配准培训操作。当确定训练操作成功时,在医学注册历史中将医学注册实例标记为肯定实例。当确定需要纠正训练操作时,将医疗注册实例标记为否定实例。医疗注册训练系统使用机器学习基于医疗注册历史来训练故障预测机器学习模型,以便故障预测机器学习模型预测是否需要校正新的医疗注册操作,并响应于预测,执行自动更正新医疗注册操作的步骤。;选定的图纸:图3;版权:(C)2019,JPO&INPIT

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