Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

作者：

Highlights：

• A hybrid ensemble model to efficiently identify lung and colon cancer is introduced.

• Anticipated deep feature extraction to extract features from cancer datasets.

• An ensemble strategy is evolved to build a robust detection model.

• The optimistic detection rate of cancer prevents the odds of mortality.

摘要

•A hybrid ensemble model to efficiently identify lung and colon cancer is introduced.•Anticipated deep feature extraction to extract features from cancer datasets.•An ensemble strategy is evolved to build a robust detection model.•The optimistic detection rate of cancer prevents the odds of mortality.

论文关键词：Feature extraction,Transfer learning,Machine learning,Ensemble learning,Lung cancer,Colon cancer

论文评审过程：Received 6 March 2022, Revised 2 May 2022, Accepted 28 May 2022, Available online 6 June 2022, Version of Record 11 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117695