Research on medical image segmentation based on machine learning

被引：0
|
作者：
Chi Y. [1 ]
Wang D.-H. [2 ]
Sun H.-F. [3 ]
Hu Y.-Q. [1 ]
Wang J.-Y. [4 ]
机构：
[1] College of medical information engineering, Heilongjiang University of Chinese Medicine, Harbin
[2] Information Office, Admissions Committee Office of Heilongjiang Province, Harbin
[3] College of pharmacy, Heilongjiang University of Chinese Medicine, Harbin
[4] Research Center of basic education in Heilongjiang, Harbin Normal University, Harbin
来源：
| 1600年 / UK Simulation Society, Clifton Lane, Nottingham, NG11 8NS, United Kingdom卷 / 17期
关键词：
Auto encoder; Convolution pooling; Machine learning;
D O I：
10.5013/IJSSST.a.17.10.07
中图分类号：
学科分类号：
摘要：
Currently too general and philosophical, where is the image segmentation equations and algorithm ? The abstract must be more specific and focused on the actual practical content of the paper, not general philosophy about theory of learning with no relation to image segmentation. The advent of the era of big data creates good conditions for the development of the depth of the theory of learning. Is introduced in this paper depth study of the development background, mainly discusses in depth learning self encoding method, to self coding method to realize simulation application, expected in the future can be applied to SAR images for automatic feature extraction. Finally, it discusses the difficulties of the theory. © 2016, UK Simulation Society. All rights reserved.
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页码：7.1 / 7.6
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