Breast cancer detection using artificial intelligence techniques: A systematic literature review

作者：

Highlights：

• Systematic review on detection breast cancer (BC) using genetic sequencing imaging

• 80 papers were extracted related to machine and deep learning algorithms.

• Deep learning models are very popular for breast cancer detection.

• RNN and GAN models have not been widely used in the field.

• Challenges and opportunities in BC are proposed as potential research directions.

摘要

•Systematic review on detection breast cancer (BC) using genetic sequencing imaging•80 papers were extracted related to machine and deep learning algorithms.•Deep learning models are very popular for breast cancer detection.•RNN and GAN models have not been widely used in the field.•Challenges and opportunities in BC are proposed as potential research directions.

论文关键词：Breast cancer,Machine learning,Deep learning

论文评审过程：Received 16 March 2021, Revised 18 October 2021, Accepted 4 March 2022, Available online 5 March 2022, Version of Record 8 March 2022.

论文官网地址：https://doi.org/10.1016/j.artmed.2022.102276