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Deep learning model learning device and method for oncology area

机译:深度学习模型学习设备及肿瘤区域方法

摘要

A deep learning model learning device according to one aspect of the present disclosure can be provided. The deep learning model learning device inputs an image corresponding to a diagnostic area, but inputs at least one parametric MRI (Magnetic Resonance Imaging) image configured based on different parameters, and inputs the at least one parametric MRI image. Based on the information labeled on the oncology region, the parametric MRI image input unit that configures and provides the MRI moving image, and at least one parametric MRI image corresponding to the diagnostic area and the MRI moving image are input. , A cancer detection model learning unit that learns a deep learning model, a labeling reference information providing unit that provides at least one reference information that contributes to labeling of the oncology region, and an input based on the at least one reference information. It can include a labeling processing unit that confirms the cancer region and processes the labeling of the confirmed cancer region. [Selection diagram] Fig. 1
机译:可以提供根据本公开的一个方面的深度学习模型学习装置。深度学习模型学习设备输入对应于诊断区域的图像,但是输入基于不同参数配置的至少一个参数MRI(磁共振成像)图像,并输入至少一个参数MRI图像。基于肿瘤区域上标记的信息,输入和提供与诊断区域和MRI运动图像对应的至少一个参数MRI图像的参数MRI图像输入单元。 ,一种学习深度学习模型的癌症检测模型学习单元,标记参考信息提供单元,其提供有助于标记肿瘤学区域的至少一个参考信息,以及基于至少一个参考信息的输入。它可以包括标记处理单元,其证实癌症区域并处理确认的癌症区域的标记。 [选择图]图1

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