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Medical image processing device, medical image processing method, and learning model learning method

机译:医学图像处理设备,医学图像处理方法,以及学习模型学习方法

摘要

PROBLEM TO BE SOLVED: To provide a medical image processing apparatus capable of generating an image in which a plurality of vertebral bodies can be individually discriminated. SOLUTION: This medical image processing apparatus 100 has an image acquisition unit 1 for acquiring an X-ray image 10 in which a plurality of vertebral bodies 40 are captured, and a vertebral body capable of individually distinguishing a plurality of vertebral bodies 40 in the X-ray image 10. An image processing unit 2 for generating a body identification image 11 is provided, and the image processing unit 2 is provided on a teacher's X-ray image 12 in which a plurality of vertebral bodies 40 are captured and a plurality of vertebral bodies 40 in the teacher's X-ray image 12. , And the vertebral body region estimation unit 20 that individually estimates a plurality of vertebral body regions 41 from the X-ray image 10 using the trained model 31 trained using the label images 13 to which different labels are given as teacher data. , An image generation unit 21 that generates a vertebral body identification image 11 based on the vertebral body region 41 estimated by the vertebral body region estimation unit 20. [Selection diagram] Fig. 1
机译:需要解决的问题:提供一种能够生成多个椎体能够被单独识别的图像的医学图像处理装置。解决方案:该医疗图像处理设备100具有图像获取第一单元,用于获取其中捕获多个椎体40的X射线图像10,以及能够单独区分X射线图像10中的多个椎体40的椎体。提供了用于生成身体识别图像11的图像处理第二单元,并且在教师的X射线图像12上提供了图像处理第二单元,其中捕获了多个椎体40,并且在教师的X射线图像12中提供了多个椎体40,以及椎体区域估计第二十单元,其使用使用被赋予不同标签作为教师数据的标签图像13训练的训练模型31,从X射线图像10单独估计多个椎体区域41,图像生成第二十一单元,其基于由椎体区域估计第二十单元估计的椎体区域41生成椎体识别图像11。[选择图]图1

著录项

  • 公开/公告号JP2022050004A

    专利类型

  • 公开/公告日2022-03-30

    原文格式PDF

  • 申请/专利权人 株式会社島津製作所;

    申请/专利号JP20200156348

  • 发明设计人 武藤 実由;

    申请日2020-09-17

  • 分类号A61B6;G06T7;

  • 国家 JP

  • 入库时间 2022-08-25 00:17:40

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