本筆記來源于B站Up主: 有Li 的影像組學系列教學視頻
本節(jié)(8)主要介紹: 使用代碼批量提取特征

數(shù)據(jù)存放路徑及格式如圖：

filepath.JPG

import radiomics
from radiomics import featureextractor
import pandas as pd

dataDir = 'C:/Users/RONG/Desktop/PythonBasic/Images/'
folderList = ['001','002','003','004','005']
extractor = featureextractor.RadiomicsFeatureExtractor()
df = pd.DataFrame()
for folder in folderList:
    imageName = dataDir + folder +'/lung_image.nrrd'
    maskName = dataDir + folder + '/lung_label.nrrd'
    featureVector = extractor.execute(imageName,maskName)
    df_add = pd.DataFrame.from_dict(featureVector.values()).T
    df_add.columns = featureVector.keys()
    df = pd.concat([df,df_add])
df.to_excel(dataDir + 'results.xlsx')

提取到的excel表打開后是這樣的：

FeatureEx.JPG

注意，這里李博士只是演示批量提取的方法，具體的pyradiomics參數(shù)需要根據(jù)自己的研究目的來調整。