A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks

IF 0.7 Q3 COMPUTER SCIENCE, THEORY & METHODS
L. Dao, N. Ly
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引用次数: 1

Abstract

—Over the past decade, Medical Image Segmentation (MIS) using Deep Neural Networks (DNNs) has achieved significant performance improvements and holds great promise for future developments. This paper presents a comprehensive study on MIS based on DNNs. Intelligent Vision Systems are often evaluated based on their output levels, such as Data, Information, Knowledge, Intelligence, and Wisdom (DIKIW), and the state-of-the-art solutions in MIS at these levels are the focus of research. Additionally, Explainable Artificial Intelligence (XAI) has become an important research direction, as it aims to uncover the "black box" nature of previous DNN architectures to meet the requirements of transparency and ethics. The study emphasizes the importance of MIS in disease diagnosis and early detection, particularly for increasing the survival rate of cancer patients through timely diagnosis. XAI and early prediction are considered two important steps in the journey from "intelligence" to "wisdom." Additionally, the paper addresses existing challenges and proposes potential solutions to enhance the efficiency of implementing DNN-based MIS.
基于深度神经网络的医学图像分割综合研究
在过去的十年中,使用深度神经网络(dnn)的医学图像分割(MIS)取得了显着的性能改进,并在未来的发展中具有很大的前景。本文对基于深度神经网络的信息管理系统进行了全面的研究。智能视觉系统通常根据其输出水平进行评估,例如数据、信息、知识、智能和智慧(DIKIW),而这些水平的MIS中最先进的解决方案是研究的重点。此外,可解释人工智能(Explainable Artificial Intelligence, XAI)已经成为一个重要的研究方向,因为它旨在揭示以前深度神经网络架构的“黑匣子”性质,以满足透明度和道德要求。本研究强调MIS在疾病诊断和早期发现中的重要性,特别是通过及时诊断提高癌症患者的生存率。人工智能和早期预测被认为是从“智能”到“智慧”的两个重要步骤。此外,本文解决了现有的挑战,并提出了潜在的解决方案,以提高实施基于dnn的MIS的效率。
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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来源期刊
CiteScore
2.30
自引率
22.20%
发文量
519
期刊介绍: IJACSA is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability. In sync with the Journal''s vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent. International Journal of Advanced Computer Science and Applications publishes carefully refereed research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications
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