Shi Zhenghao, He Lifeng, Suzuki Kenji, Nakamura Tsuyoshi, Itoh Hidenori
School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, 710048, China,
Graduate School of Information Science and Technology, Aichi Prefectural University, Nagakute, Aichi, 480-1198 Japan,
Int J Comput Sci. 2009 Feb;3(1):86-100.
This paper aims to present a review of neural networks used in medical image processing. We classify neural networks by its processing goals and the nature of medical images. Main contributions, advantages, and drawbacks of the methods are mentioned in the paper. Problematic issues of neural network application for medical image processing and an outlook for the future research are also discussed. By this survey, we try to answer the following two important questions: (1) What are the major applications of neural networks in medical image processing now and in the nearby future? (2) What are the major strengths and weakness of applying neural networks for solving medical image processing tasks? We believe that this would be very helpful researchers who are involved in medical image processing with neural network techniques.
本文旨在对医学图像处理中使用的神经网络进行综述。我们根据神经网络的处理目标和医学图像的性质对其进行分类。文中提到了这些方法的主要贡献、优点和缺点。还讨论了神经网络在医学图像处理应用中的问题以及未来研究的展望。通过这项调查，我们试图回答以下两个重要问题：（1）神经网络在当前及不久的将来在医学图像处理中的主要应用有哪些？（2）应用神经网络解决医学图像处理任务的主要优势和劣势是什么？我们相信，这对那些使用神经网络技术从事医学图像处理的研究人员会非常有帮助。
