A hybrid CAD system for lung nodule detection using CT studies based in soft computing

作者：

Highlights：

• Unguided system based in medical image analysis and soft computing to find nodules.

• Better identification of region of interest using a hybrid approach.

• A new 3D region growing algorithm to better construction of volume of interest.

• Effectiveness evaluation of soft computing techniques to classify lung nodules.

摘要

•Unguided system based in medical image analysis and soft computing to find nodules.•Better identification of region of interest using a hybrid approach.•A new 3D region growing algorithm to better construction of volume of interest.•Effectiveness evaluation of soft computing techniques to classify lung nodules.

论文关键词：Fuzzy clustering,SVM,ANN,Soft computing,Lung nodule

论文评审过程：Received 25 June 2020, Revised 7 October 2020, Accepted 5 November 2020, Available online 20 November 2020, Version of Record 24 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114259