ORCID Profile
0000-0003-1001-7925
Current Organisation
University of Adelaide
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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
Publisher: Springer International Publishing
Date: 2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Springer International Publishing
Date: 2022
Publisher: Springer Nature Switzerland
Date: 2023
Publisher: Springer Science and Business Media LLC
Date: 21-02-2023
DOI: 10.1007/S11633-022-1382-8
Abstract: Medical data refers to health-related information associated with regular patient care or as part of a clinical trial program. There are many categories of such data, such as clinical imaging data, bio-signal data, electronic health records (EHR), and multi-modality medical data. With the development of deep neural networks in the last decade, the emerging pre-training paradigm has become dominant in that it has significantly improved machine learning methods′ performance in a data-limited scenario. In recent years, studies of pre-training in the medical domain have achieved significant progress. To summarize these technology advancements, this work provides a comprehensive survey of recent advances for pre-training on several major types of medical data. In this survey, we summarize a large number of related publications and the existing benchmarking in the medical domain. Especially, the survey briefly describes how some pre-training methods are applied to or developed for medical data. From a data-driven perspective, we examine the extensive use of pre-training in many medical scenarios. Moreover, based on the summary of recent pre-training studies, we identify several challenges in this field to provide insights for future studies.
Publisher: University of Queensland Library
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
No related grants have been discovered for Tony Weitong Chen.