A Survey of Transfer Learning Applied in Medical Image Recognition


연구 분야: Artificial Intelligence



학회: 2021 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)


초록

Transfer learning has made great progress and has been applied to computer vision, especially image recognition. In this paper, the concept and basic method of transfer learning is studied. Some representative methods for solving the recognition problems is studied, especially the transfer learning method applied in images recognition, the paper highlighted the research status and technical characteristics of transfer learning in the medical image recognition. Finally, the possible future directions of transfer learning applied in medical image recognition are briefly discussed.


Author Profile
Huijun Tang

School of Finance and Information Ningbo University of Finance and Economics Ningbo China

Andorra
Author Profile
Xueya Cen

Ultrasound Department Cixi Hospital of Traditional Chinese Medicine Ningbo China

China

📄 논문 정보

발행 연도 2021년
인용수 7
출판 국가 Andorra, China
사이트 IEEE
좋아요 수 0

연관 논문 목록 (447건)