注释这段代码：导入相关的库 import sys import pandas as pd import os import random import shutil import numpy as np import radiomics from radiomics import featureextractor import SimpleITK as sitk kinds = ['HGG','LGG'] #这个是特征处理配置文件，具体可以参考pyradiomics官网 para_path = 'yaml/MR_1mm.yaml' extractor = featureextractor.RadiomicsFeatureExtractor(para_path) dir = 'data/MyData/' for kind in kinds: print("{}:开始提取特征".format(kind)) features_dict = dict() df = pd.DataFrame() path = dir + kind # 使用配置文件初始化特征抽取器 for index, folder in enumerate( os.listdir(path)): for f in os.listdir(os.path.join(path, folder)): if 't1ce' in f: ori_path = os.path.join(path,folder, f) break lab_path = ori_path.replace('t1ce','seg') features = extractor.execute(ori_path,lab_path) #抽取特征 #新增一列用来保存病例文件夹名字 features_dict['index'] = folder for key, value in features.items(): #输出特征 features_dict[key] = value df = df.append(pd.DataFrame.from_dict(features_dict.values()).T,ignore_index=True) print(index) df.columns = features_dict.keys() df.to_csv('csv/' +'{}.csv'.format(kind),index=0) print('Done') print("完成")

这段代码导入了一些Python库，包括`sys`、`pandas`、`os`、`random`、`shutil`、`numpy`、`radiomics`和`SimpleITK`。其中，`radiomics`和`SimpleITK`是医学影像处理相关的库。接下来定义了一个名为`kinds`的列表，其中包含了'HGG'和'LGG'两个字符串。