首页> 外国专利> CHARACTERIZING DISEASE AND TREATMENT RESPONSE WITH QUANTITATIVE VESSEL TORTUOSITY RADIOMICS

CHARACTERIZING DISEASE AND TREATMENT RESPONSE WITH QUANTITATIVE VESSEL TORTUOSITY RADIOMICS

机译:用定量的血管曲率放射线学表征疾病和治疗反应

摘要

Methods, apparatus, and other embodiments associated with classifying a region of tissue using quantified vessel tortuosity are described. One example apparatus includes an image acquisition logic that acquires an image of a region of tissue demonstrating cancerous pathology, a delineation logic that distinguishes nodule tissue within the image from the background of the image, a perinodular zone logic that defines a perinodular zone based on the nodule, a feature extraction logic that extracts a set of features from the image including a set of tortuosity features, a probability logic that computes a probability that the nodule is benign, and a classification logic that classifies the nodule tissue based, at least in part, on the set of features or the probability. A prognosis or treatment plan may be provided based on the classification of the image.
机译:描述了与使用量化的血管曲折度对组织区域进行分类有关的方法,设备和其他实施例。一个示例装置包括:图像获取逻辑,其获取表现出癌性病理的组织区域的图像;描绘逻辑,其将图像内的结节组织与图像的背景区分开;牙周区域逻辑,其基于所述图像来定义牙周区域。结节,从图像中提取一组特征的特征提取逻辑(包括一组曲折特征),计算结节良性的概率的概率逻辑,以及至少部分基于结节组织进行分类的分类逻辑,关于一组特征或概率。可以基于图像的分类来提供预后或治疗计划。

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