Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

被引:1105
作者
Greenspan, Hayit [1 ]
van Ginneken, Bram [2 ]
Summers, Ronald M. [3 ]
机构
[1] Tel Aviv Univ, Fac Engn, Dept Biomed Engn, Biomed Image Comp Lab, IL-69978 Tel Aviv, Israel
[2] Radboud Univ Nijmegen, Med Ctr, Diagnost Image Anal Grp, NL-6525 GA Nijmegen, Netherlands
[3] NIH, Imaging Biomarkers & Comp Aided Diag Lab, Radiol & Imaging Sci, Ctr Clin, Bldg 10, Bethesda, MD 20892 USA
基金
美国国家卫生研究院;
关键词
CONVOLUTIONAL NEURAL-NETWORKS; COMPUTER-AIDED DETECTION; CLASSIFICATION; SEGMENTATION; IMAGES;
D O I
10.1109/TMI.2016.2553401
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
引用
收藏
页码:1153 / 1159
页数:7
相关论文
共 38 条
[11]   Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks [J].
Dou, Qi ;
Chen, Hao ;
Yu, Lequan ;
Zhao, Lei ;
Qin, Jing ;
Wang, Defeng ;
Mok, Vincent C. T. ;
Shi, Lin ;
Heng, Pheng-Ann .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2016, 35 (05) :1182-1195
[12]   Medical image processing on the GPU - Past, present and future [J].
Eklund, Anders ;
Dufort, Paul ;
Forsberg, Daniel ;
LaConte, Stephen M. .
MEDICAL IMAGE ANALYSIS, 2013, 17 (08) :1073-1094
[13]   Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing [J].
Ghesu, Florin C. ;
Krubasik, Edward ;
Georgescu, Bogdan ;
Singh, Vivek ;
Zheng, Yefeng ;
Hornegger, Joachim ;
Comaniciu, Dorin .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2016, 35 (05) :1217-1228
[14]   q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans [J].
Golkov, Vladimir ;
Dosovitskiy, Alexey ;
Sperl, Jonathan I. ;
Menzel, Marion I. ;
Czisch, Michael ;
Saemann, Philipp ;
Brox, Thomas ;
Cremers, Daniel .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2016, 35 (05) :1344-1351
[15]   Deep Residual Learning for Image Recognition [J].
He, Kaiming ;
Zhang, Xiangyu ;
Ren, Shaoqing ;
Sun, Jian .
2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, :770-778
[16]   A fast learning algorithm for deep belief nets [J].
Hinton, Geoffrey E. ;
Osindero, Simon ;
Teh, Yee-Whye .
NEURAL COMPUTATION, 2006, 18 (07) :1527-1554
[17]   Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring [J].
Kallenberg, Michiel ;
Petersen, Kersten ;
Nielsen, Mads ;
Ng, Andrew Y. ;
Diao, Pengfei ;
Igel, Christian ;
Vachon, Celine M. ;
Holland, Katharina ;
Winkel, Rikke Rass ;
Karssemeijer, Nico ;
Lillholm, Martin .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2016, 35 (05) :1322-1331
[18]  
LeCun Y., 2015, NATURE, V521, DOI [DOI 10.1038/NATURE14539, 10.1038/nature14539]
[19]  
LO SCB, 1993, P SOC PHOTO-OPT INS, V1898, P859, DOI 10.1117/12.154572
[20]   Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence [J].
McKenna, Matthew T. ;
Wang, Shijun ;
Nguyen, Tan B. ;
Burns, Joseph E. ;
Petrick, Nicholas ;
Summers, Ronald M. .
MEDICAL IMAGE ANALYSIS, 2012, 16 (06) :1280-1292