Medical image analysis using deep learning algorithms

doi:10.3389/fpubh.2023.1273253

科研成果详情

题名	Medical image analysis using deep learning algorithms
作者	Li, Mengfang1; Jiang, Yuanyuan 2; Zhang, Yanzhou 2; Zhu, Haisheng 3
发表日期	2023-11-07
发表期刊	FRONTIERS IN PUBLIC HEALTH 影响因子和分区
语种	英语
原始文献类型	Article
关键词	deep learning machine learning medical images image analysis convolutional neural networks
其他关键词	INTERNET ; SEGMENTATION ; PREDICTION ; MODEL
摘要	In the field of medical image analysis within deep learning (DL), the importance of employing advanced DL techniques cannot be overstated. DL has achieved impressive results in various areas, making it particularly noteworthy for medical image analysis in healthcare. The integration of DL with medical image analysis enables real-time analysis of vast and intricate datasets, yielding insights that significantly enhance healthcare outcomes and operational efficiency in the industry. This extensive review of existing literature conducts a thorough examination of the most recent deep learning (DL) approaches designed to address the difficulties faced in medical healthcare, particularly focusing on the use of deep learning algorithms in medical image analysis. Falling all the investigated papers into five different categories in terms of their techniques, we have assessed them according to some critical parameters. Through a systematic categorization of state-of-the-art DL techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Long Short-term Memory (LSTM) models, and hybrid models, this study explores their underlying principles, advantages, limitations, methodologies, simulation environments, and datasets. Based on our results, Python was the most frequent programming language used for implementing the proposed methods in the investigated papers. Notably, the majority of the scrutinized papers were published in 2021, underscoring the contemporaneous nature of the research. Moreover, this review accentuates the forefront advancements in DL techniques and their practical applications within the realm of medical image analysis, while simultaneously addressing the challenges that hinder the widespread implementation of DL in image analysis within the medical healthcare domains. These discerned insights serve as compelling impetuses for future studies aimed at the progressive advancement of image analysis in medical healthcare research. The evaluation metrics employed across the reviewed articles encompass a broad spectrum of features, encompassing accuracy, sensitivity, specificity, F-score, robustness, computational complexity, and generalizability.
资助项目	The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
出版者	FRONTIERS MEDIA SA
ISSN	2296-2565
EISSN	2296-2565
卷号	11
DOI	10.3389/fpubh.2023.1273253
页数	28
WOS类目	Public, Environmental & Occupational Health
WOS研究方向	Public, Environmental & Occupational Health
WOS记录号	WOS:001104244200001
收录类别	SCIE ; SCOPUS ; PUBMED ; SSCI
URL	查看原文
Pubmed记录号	38026291
Scopus记录号	2-s2.0-85177426284
通讯作者地址	[Zhang, Yanzhou]Department of Cardiovascular Medicine,The First Affiliated Hospital of Zhengzhou University,Zhengzhou,China
scopus学科分类	Public Health, Environmental and Occupational Health
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/184038
专题	附属第一医院_麻醉科
通讯作者	Zhang, Yanzhou
作者单位	1.The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China; 2.Department of Cardiovascular Medicine,The First Affiliated Hospital of Zhengzhou University,Zhengzhou,China; 3.Department of Cardiovascular Medicine,Wencheng People’s Hospital,Wencheng,China
第一作者单位	附属第一医院; 第一临床医学院（信息与工程学院）、附属第一医院
第一作者的第一单位	附属第一医院
推荐引用方式 GB/T 7714	Li, Mengfang,Jiang, Yuanyuan,Zhang, Yanzhou,et al. Medical image analysis using deep learning algorithms[J]. FRONTIERS IN PUBLIC HEALTH,2023,11.
APA	Li, Mengfang, Jiang, Yuanyuan, Zhang, Yanzhou, & Zhu, Haisheng. (2023). Medical image analysis using deep learning algorithms. FRONTIERS IN PUBLIC HEALTH, 11.
MLA	Li, Mengfang,et al."Medical image analysis using deep learning algorithms".FRONTIERS IN PUBLIC HEALTH 11(2023).