首页> 外国专利> METHOD AND APPARATUS FOR CLASSIFICATION OF LESION BASED ON LEARNING DATA APPLYING ONE OR MORE AUGMENTATION METHODS IN LESION INFORMATION AUGMENTED PATCH OF MEDICAL IMAGE

METHOD AND APPARATUS FOR CLASSIFICATION OF LESION BASED ON LEARNING DATA APPLYING ONE OR MORE AUGMENTATION METHODS IN LESION INFORMATION AUGMENTED PATCH OF MEDICAL IMAGE

机译:基于学习数据的病变分类方法和装置,该学习数据在医学图像的病变信息增强补丁中采用一种或多种增强方法

摘要

A learning-based lesion classification method performed by a computer is provided. The method includes obtaining a medical image including lesion regions, extracting at least one sample region from the lesion regions within the medical image, generating LINA patch data based on the at least one sample region, and classifying the lesion regions within the medical image by performing learning based on the LINA patch data.
机译:提供了一种由计算机执行的基于学习的病变分类方法。该方法包括:获得包括病变区域的医学图像;从医学图像内的病变区域中提取至少一个样本区域;基于至少一个样本区域生成LINA补丁数据;以及通过执行以下操作来对医学图像内的病变区域进行分类:基于LINA补丁数据学习。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号