nrrd格式医疗图像特征提取

import radiomics
import radiomics.featureextractor as FEE
import os
import json

# 文件名
main_path = os.path.abspath('.')
print (os.getcwd())
ori_name = r'/Abdomen  1.5  B30f.nrrd'
lab_name = r'/1.nrrd'
para_name = r'/Params.yaml'

# 文件全部路径
ori_path = main_path + ori_name  
lab_path = main_path + lab_name
para_path = main_path + para_name
 
# 使用配置文件初始化特征抽取器
extractor = FEE.RadiomicsFeatureExtractor(para_path)

# 运行
result = extractor.execute(ori_path,lab_path)  #抽取特征
res={}
for key, value in result.items():  #输出特征
    if(str(type(value))=="<class 'numpy.ndarray'>"):
        res[key]=value.tolist()
    else:
        res[key]=value
# 序列化写入json
with open("record.json","w") as f:
    json.dump(res,f)
# 反序列化恢复到内存
with open("record.json","r") as dump_f: 
    load_dict = json.load(dump_f)
    #print(load_dict)