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Medical image processing equipment, trained models and medical image processing methods

机译:医学图像处理设备,训练有素的模型和医学图像处理方法

摘要

PROBLEM TO BE SOLVED: To improve image quality. A medical image processing apparatus according to an embodiment includes an acquisition unit and a processing unit. The acquisition unit acquires the first medical image data to be noise-removed. The processing unit generates a second medical image data in which the first medical image data is denoised, based on the first medical image data and the trained model. The trained model generates a plurality of fourth image data with respect to the third image data by dividing the third image data into a plurality of sub data, and one of the plurality of fourth image data. Is generated by training with the image data of the above as input data and image data other than one of the plurality of fourth image data as target data. [Selection diagram] Fig. 1
机译:问题要解决:提高图像质量。根据实施例的医学图像处理设备包括采集单元和处理单元。获取单元获取待噪声的第一医学图像数据。处理单元基于第一医学图像数据和培训的模型生成第一医学图像数据的第二医学图像数据,其中第一医学图像数据被剥离。通过将第三图像数据划分为多个子数据,训练模型通过将第三图像数据划分为多个子数据而产生多个第四图像数据,以及多个第四图像数据中的一个。通过用上述图像数据作为输入数据和多个第四图像数据之外的图像数据作为目标数据来生成。 [选择图]图1

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