HCR. A total of 3, 249 radiomics features are extracted for each patient, replicating [38]. The feature extraction is based on the pyRadiomics framework [29]. The HCR features are chosen to describe three main image proper- ties: shape (13 features, based on the GTV contours), intensity (18 features, based on the voxel intensities), and texture (1, 600 features, based on four Gray-Level Matrices). Following [38], 40 types of texture features were considered, each one computed on 40 sets of parameters that define pixel spacing, quantization method and number of gray levels; 解释
时间: 2024-04-26 08:24:29 浏览: 9
这段文字描述了一个名为HCR的特征提取方法,用于从医学图像中提取特征。每个病人都提取了3249个影像学特征,这是通过使用pyRadiomics框架进行的。这些特征被选择用来描述图像的三个主要属性:形状(基于GTV轮廓的13个特征)、强度(基于像素强度的18个特征)和纹理(基于四个灰度矩阵的1600个特征)。其中纹理特征是基于40种纹理特征类型计算的,每种类型又计算了40组参数,这些参数定义了像素间隔、量化方法和灰度级数。这些特征可以用于医学图像分类、分割和诊断等应用。
相关问题
ct = ColorTable() rc12 = ct.ColorRecords['Rain12HCR']我可以修改颜色记录吗
可以,你可以通过以下方式修改颜色记录:
```
ct.ColorRecords['Rain12HCR'] = {'Name': 'Rainbow12', 'Colors': ['#0000FF', '#00FFFF', '#00FF00', '#FFFF00', '#FF7F00', '#FF0000']}
```
这将把 `Rain12HCR` 记录的颜色改为蓝色、青色、绿色、黄色、橙色和红色。注意,修改颜色记录可能会影响到使用该颜色记录的其他部分的外观。
ct = ColorTable() rc12 = ct.ColorRecords['Rain12HCR']怎么修改等级
您可以使用以下代码来修改等级:
```
rc12.Levels = [0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100] # 修改等级
```
在这个示例中,我将等级修改为0, 10, 20, 30, 40, 50, 60, 70, 80, 90和100。您可以根据需要修改这些值。