[基于图像融合的前列腺癌诊断进展]。

Wenbin Luo, Pei Wang, Yiwei Zhang, Gengqiang Shi
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引用次数: 0

摘要

目前,图像融合在前列腺癌(PCa)诊断中发挥着重要作用。选择和开发一种好的图像融合算法是实现图像融合的核心任务,它决定了融合得到的图像质量是否良好,能否满足临床应用的实际需要。近年来,它已成为医学图像融合的研究热点之一。为了全面研究医学图像融合的方法,本文综述了近年来国内外发表的相关文献。对图像融合技术进行了分类,将图像融合算法分为传统融合算法和深度学习(DL)融合算法。分析比较了部分算法的原理和工作流程,总结了其优缺点,并介绍了相关的医学图像数据集。最后,展望了医学图像融合算法的未来发展趋势,指出了医学图像融合技术在前列腺癌等重大疾病诊断中的发展方向。
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[Advances in the diagnosis of prostate cancer based on image fusion].

Image fusion currently plays an important role in the diagnosis of prostate cancer (PCa). Selecting and developing a good image fusion algorithm is the core task of achieving image fusion, which determines whether the fusion image obtained is of good quality and can meet the actual needs of clinical application. In recent years, it has become one of the research hotspots of medical image fusion. In order to make a comprehensive study on the methods of medical image fusion, this paper reviewed the relevant literature published at home and abroad in recent years. Image fusion technologies were classified, and image fusion algorithms were divided into traditional fusion algorithms and deep learning (DL) fusion algorithms. The principles and workflow of some algorithms were analyzed and compared, their advantages and disadvantages were summarized, and relevant medical image data sets were introduced. Finally, the future development trend of medical image fusion algorithm was prospected, and the development direction of medical image fusion technology for the diagnosis of prostate cancer and other major diseases was pointed out.

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来源期刊
生物医学工程学杂志
生物医学工程学杂志 Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
4868
期刊介绍:
期刊最新文献
[A lightweight convolutional neural network for myositis classification from muscle ultrasound images]. [A review on depth perception techniques in organoid images]. [Advances in nanostructured surfaces for enhanced mechano-bactericidal applications]. [Advances in the diagnosis of prostate cancer based on image fusion]. [Analysis of nerve excitability in the dentate gyrus of the hippocampus in cerebral ischaemia-reperfusion mice].
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