The natural language explanation algorithms for the lung cancer computer-aided diagnosis system

作者：

Highlights：

• Two algorithms of the lung cancer CADx system explanation is proposed.

• The explanation is implemented via natural language.

• A low-dimensional feature representation of CT lung nodule images is considered to simplify classification and explanation.

• An efficient explanation method is based on using a set of simple classifiers which provide short phrases as classes.

摘要

•Two algorithms of the lung cancer CADx system explanation is proposed.•The explanation is implemented via natural language.•A low-dimensional feature representation of CT lung nodule images is considered to simplify classification and explanation.•An efficient explanation method is based on using a set of simple classifiers which provide short phrases as classes.

论文关键词：Visual explanations,LIME,Lung cancer,Computer-aided diagnosis,Natural language,Classification,Explainable AI,Causability

论文评审过程：Received 3 April 2020, Revised 16 July 2020, Accepted 19 August 2020, Available online 28 August 2020, Version of Record 7 September 2020.

论文官网地址：https://doi.org/10.1016/j.artmed.2020.101952