A Perspective on Deep Imaging

被引:307
作者
Wang, Ge [1 ]
机构
[1] Rensselaer Polytech Inst, Ctr Biotechnol & Interdisciplinary Studies, Biomed Imaging Ctr, Dept Biomed Engn, Troy, NY 12180 USA
来源
IEEE ACCESS | 2016年 / 4卷
关键词
Tomographic imaging; medical imaging; data acquisition; image reconstruction; image analysis; big data; machine learning; deep learning; RECONSTRUCTION; CT; ALGORITHM;
D O I
10.1109/ACCESS.2016.2624938
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The combination of tomographic imaging and deep learning, or machine learning in general, promises to empower not only image analysis but also image reconstruction. The latter aspect is considered in this perspective article with an emphasis on medical imaging to develop a new generation of image reconstruction theories and techniques. This direction might lead to intelligent utilization of domain knowledge from big data, innovative approaches for image reconstruction, and superior performance in clinical and preclinical applications. To realize the full impact of machine learning for tomographic imaging, major theoretical, technical and translational efforts are immediately needed.
引用
收藏
页码:8914 / 8924
页数:11
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