CASIA OpenIR  > 学术期刊  > Machine Intelligence Research
Pre-training in Medical Data: A Survey
Yixuan Qiu1; Feng Lin1; Weitong Chen2; Miao Xu1
Source PublicationMachine Intelligence Research
ISSN2731-538X
2023
Volume20Issue:2Pages:147-149
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.

KeywordMedical data pre-training transfer learning self-supervised learning medical image data electrocardiograms (ECG) data
DOI10.1007/s11633-022-1382-8
Sub direction classification其他
planning direction of the national heavy laboratory其他
Paper associated data
Chinese guidehttps://mp.weixin.qq.com/s/c8f6H6ndskrlWEUvm3leTQ
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Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/55972
Collection学术期刊_Machine Intelligence Research
Affiliation1.The University of Queensland, Brisbane 4072, Australia
2.The University of Adelaide, Adelaide 5005, Australia
Recommended Citation
GB/T 7714
Yixuan Qiu,Feng Lin,Weitong Chen,et al. Pre-training in Medical Data: A Survey[J]. Machine Intelligence Research,2023,20(2):147-149.
APA Yixuan Qiu,Feng Lin,Weitong Chen,&Miao Xu.(2023).Pre-training in Medical Data: A Survey.Machine Intelligence Research,20(2),147-149.
MLA Yixuan Qiu,et al."Pre-training in Medical Data: A Survey".Machine Intelligence Research 20.2(2023):147-149.
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