Intelligent Analysis of Biomedical Imaging Data for Precision Medicine

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Editorial

26 September 2022

Editorial: Intelligent analysis of biomedical imaging data for precision medicine

Kuanquan Wang

,

Shuo Li

,

Xiuying Wang

,

Jun Feng

and

Yong Xu

1,307 views

1 citations

Editors

5

Kuanquan Wang

Harbin Institute of Technology

Shuo Li

Western University

Xiu Ying Wang

School of Computer Science, Faculty of Engineering, The University of Sydney

Jun Feng

Northwest University

Yong Xu

Harbin Institute of Technology, Shenzhen

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Analysis technology for biomedical imaging data is critical in the field of precision medicine. However, it is still difficult to analyze biomedical imaging data with high efficiency, high accuracy, and high consistency, due to three limitations: imaging quality, analysis efficiency, and subjective differences among different clinicians. In recent years, artificial intelligence technologies have made breakthroughs in many fields. Hence, intelligent analysis technology for biomedical imaging data has big potential to improve the analysis accuracy and efficiency as well as avoid subjective differences among different clinicians.

For this Research Topic, we would like to bring together recent advances in key biomedical intelligent analysis technologies, such as biomedical image segmentation, biomedical image registration, biomedical image reconstruction, biomedical image restoration, intelligent quantification, intelligent diagnosis, and so on. These key biomedical intelligent analysis technologies are the foundations of precision medicine as well as the hot research areas in the field of precision medicine. We believe that these key biomedical intelligent analysis technologies will significantly boost the abilities to achieve precision medicine.

We welcome submissions of Original Research and Review articles focusing on the intelligent analysis of biomedical imaging data for precision medicine. Topics of interest include but are not limited to any of the sub-topics listed below:
- Biomedical image classification
- Biomedical image detection
- Biomedical image segmentation
- Biomedical image registration
- Biomedical image restoration
- Biomedical image data mining
- Biomedical image reconstruction
- Quantification based on intelligent analysis of biomedical imaging data
- Diagnosis based on intelligent analysis of biomedical imaging data

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Editors

Kuanquan Wang

Harbin Institute of Technology

Shuo Li

Western University

Xiu Ying Wang

School of Computer Science, Faculty of Engineering, The University of Sydney

Jun Feng

Northwest University

Yong Xu

Harbin Institute of Technology, Shenzhen

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Frontiers in Medicine

Precision Medicine

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