主题演讲:用于医学图像分析的深度学习网络:过去、未来和问题

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引用次数: 0

摘要

随着深度学习神经网络在图像理解方面的进步,图像分析领域的研究也逐渐成为深度学习网络研究的热点。其在医学图像分析中的应用引起了广泛的兴趣。医学图像的特点与照片和视频图像有很大的不同。医学图像分析的应用也更为关键。为了实现医学图像分析的最佳有效性和可行性,必须考虑几个问题。在这次演讲中,我们将简要概述神经网络在过去医学图像分析中的发展以及深度学习的未来趋势。关于数据准备、技术和临床应用的几个问题也将被讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Keynote Address: Deep Learning Networks for Medical Image Analysis: Its Past, Future, and Issues
The advancement of image understanding with deep learning neural networks has brought great attraction to those in image analysis into the focus of deep learning networks. The demonstrated capability triggers broad interests of its application into medical image analysis. The characteristics of medical images are extremely different from photos and video images. The application of medical image analysis is also much more critical. For achieving the best effectiveness and feasibility of medical image analysis with deep learning approaches, several issues have to be considered. In this talk we will give a brief overview of the development of neural networks for medical image analysis in the past and the future trends with deep learning. Several issues in regard of the data preparation, techniques, and clinic applications will also be discussed.
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