深度学习与医学诊断:文献综述

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Multimodal Technologies and Interaction Pub Date : 2018-08-17 DOI:10.3390/MTI2030047
Mihalj Bakator, D. Radosav
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引用次数: 278

摘要

本文综述了深度学习在医学诊断中的应用。对深度神经网络在医学领域的应用进行了深入的分析。获得了300多篇研究论文,经过几个选择步骤,比较详细地介绍了46篇文章。结果表明,在深度学习和医学图像分析方面,卷积神经网络(CNN)是最广泛的代表。此外,根据本文的研究结果,可以注意到深度学习技术的应用是广泛的,但大多数应用集中在生物信息学,医学诊断等类似领域。
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Deep Learning and Medical Diagnosis: A Review of Literature
In this review the application of deep learning for medical diagnosis is addressed. A thorough analysis of various scientific articles in the domain of deep neural networks application in the medical field has been conducted. More than 300 research articles were obtained, and after several selection steps, 46 articles were presented in more detail. The results indicate that convolutional neural networks (CNN) are the most widely represented when it comes to deep learning and medical image analysis. Furthermore, based on the findings of this article, it can be noted that the application of deep learning technology is widespread, but the majority of applications are focused on bioinformatics, medical diagnosis and other similar fields.
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来源期刊
Multimodal Technologies and Interaction
Multimodal Technologies and Interaction Computer Science-Computer Science Applications
CiteScore
4.90
自引率
8.00%
发文量
94
审稿时长
4 weeks
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