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Abnormal Tissue Detection Via Modal Upstream Data Fusion

机译:通过模态上游数据融合检测异常组织

摘要

A method for characterizing and locating abnormal tissue in an area of interest in a body is provided. The method may include receiving first and second modality examination data including a plurality of first and second modality examination data segments of the area of interest and determining, by evaluating each first and second modality examination data segment, a set of modality detection candidates based on the first and second modality examination data and a first and second modality feature likelihood model. The method may also include generating a modal or multi-modal correspondence anatomic model of the area of interest by registering the plurality of first and second modality examination data segments, determining one or more modal abnormal tissue detections by fusing the set of modality detection candidates using the modal or multimodal correspondence anatomic model, and providing a modal diagnosis confidence score and a modal anatomic location based on the one or more modal abnormal tissue detections.
机译:提供了一种在身体的感兴趣区域中表征和定位异常组织的方法。该方法可以包括:接收包括感兴趣区域的多个第一和第二模态检查数据段的第一和第二模态检查数据,并且通过评估每个第一和第二模态检查数据段,基于所述第一和第二模态检查数据段来确定一组模态检测候选者。第一和第二模态检查数据以及第一和第二模态特征似然模型。该方法还可以包括通过注册多个第一和第二模态检查数据段来生成感兴趣区域的模态或多模态对应解剖模型,通过使用以下方法将一组模态检测候选者融合来确定一个或多个模态异常组织检测。模态或多模态对应解剖模型,并基于一个或多个模态异常组织检测提供模态诊断置信度得分和模态解剖位置。

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