Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement

Heng Li1; Ziqin Lin2; Zhongxi Qiu1; Zinan Li2; Ke Niu3; Na Guo4; Huazhu Fu5; Yan Hu1; Jiang Liu1

2023

10.1109/TMI.2023.3335651

IEEE Transactions on Medical Imaging   影响因子和分区

1558-254X

Medical image enhancement source-free unsupervised domain adaptation knowledge distillation pseudo-label selection

EI ; SCI

第一

20234915181047

Data acquisition ; Diagnosis ; Distillation ; Inference engines ; Medical imaging ; Personnel training ; Teaching

Biomedical Engineering:461.1 ; Medicine and Pharmacology:461.6 ; Data Processing and Image Processing:723.2 ; Expert Systems:723.4.1 ; Imaging Techniques:746 ; Chemical Operations:802.3 ; Personnel:912.4

CLINICAL MEDICINE

IEEE

1.Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China
2.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China
3.Computer School, Beijing Information Science and Technology University, Beijing, China
4.School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China
5.Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore

Heng Li,Ziqin Lin,Zhongxi Qiu,et al. Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement[J]. IEEE Transactions on Medical Imaging,2023,PP(99):1-1.

Heng Li.,Ziqin Lin.,Zhongxi Qiu.,Zinan Li.,Ke Niu.,...&Jiang Liu.(2023).Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement.IEEE Transactions on Medical Imaging,PP(99),1-1.

Heng Li,et al."Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement".IEEE Transactions on Medical Imaging PP.99(2023):1-1.