Machine learning to predict lung nodule biopsy method using CT image features: A pilot study

Yohan Sumathipala,Majid Shafiq,Erika Bongen,Connor Brinton,David Paik

Computerized Medical Imaging and Graphics（2019）

引用 14|浏览23

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摘要

•Semantic and image features predicted success of minimally invasive lung biopsies.•Informative features include nodule volume, spiculation, and depth within the body.•Developed a method to calculate distance to a nodule through the bronchial system using CT images.

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关键词

Lung cancer,Lung biopsy,Predicting biopsy method,Logistic regression,Random forest,Semantic features,Machine learning,CT,LIDC-IDRI,NLST

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