Systematic Literature Review on Convolutional Neural Networks for Vascular Surgeries

Javier Arturo Gamboa Cruzado, Michelle Rojas-Morales, Jefferson López-Goycochea, Enrique Edgardo Condor Tinoco, Guillermo Paucar-Carlos, Anibal Sifuentes Damián
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Abstract

Everyday thousands of cardiac surgeries are performed worldwide. This article reviews numerous studies on the use of Convolutional Neural Networks and their impact on vascular surgery. The development of computer systems supported by convolutional neural networks that contribute to vascular surgeries represents an important deviation from traditional approaches to the performance of surgical interventions, either through computed tomography verification or the method in which a surgeon ceases to participate in this type of surgical interventions. A systematic literature review (SLR) regarding convolutional neural networks for use in vascular surgeries was conducted for research from 2016 to 2021. The search strategy identified 15,505 papers from various search sources such as ACM Digital Library, EBSCOhost, Google Scholar, IEEE Xplore, MDPI, Microsoft Academic, ProQuest, ScienceDirect, Scopus, Springer, Web of Science, and Wiley Online Library, from which only 70 papers were considered (selected) based on exclusion criteria. The SLR focused on recent studies on convolutional neural networks where their use in vascular surgeries has been identified. This SLR provides readers with a mapping of all identified findings, making a comparison by relevance in regard to their own settings and possible scenarios. Therefore, it is hoped that this research will help other researchers to understand the current status of Convolutional Neural Networks and their application in Vascular Surgeries.
卷积神经网络在血管手术中的系统文献综述
每天全世界都要进行成千上万的心脏手术。本文综述了卷积神经网络的应用及其在血管手术中的影响。由卷积神经网络支持的计算机系统的发展有助于血管手术,这代表了传统的手术干预方法的重要偏离,无论是通过计算机断层扫描验证还是外科医生停止参与这种类型的手术干预的方法。2016 - 2021年对卷积神经网络在血管手术中的应用进行了系统文献综述(SLR)。检索策略从ACM Digital Library、EBSCOhost、Google Scholar、IEEE Xplore、MDPI、Microsoft Academic、ProQuest、ScienceDirect、Scopus、Springer、Web of Science和Wiley Online Library等各种检索源中确定了15505篇论文,其中根据排除标准只有70篇论文被考虑(选择)。SLR关注卷积神经网络的最新研究,其中卷积神经网络在血管手术中的应用已经确定。这台单反相机为读者提供了所有已识别的发现的地图,根据他们自己的设置和可能的情况,通过相关性进行比较。因此,希望本研究能够帮助其他研究者了解卷积神经网络的现状及其在血管外科中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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