Deep learning with non-medical training used for chest pathology identification

作者: Yaniv Bar , Idit Diamant , Lior Wolf , Hayit Greenspan

DOI: 10.1117/12.2083124

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摘要: … We use a CNN that was trained with ImageNet, a well-known large scale nonmedical image … This is a first-of-its-kind experiment that shows that deep learning with large scale non-…

参考文章(13)
Dan C. Cireşan, Alessandro Giusti, Luca M. Gambardella, Jürgen Schmidhuber, Mitosis detection in breast cancer histology images with deep neural networks. medical image computing and computer-assisted intervention. ,vol. 16, pp. 411- 418 ,(2013) , 10.1007/978-3-642-40763-5_51
Aude Oliva, Antonio Torralba, Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope International Journal of Computer Vision. ,vol. 42, pp. 145- 175 ,(2001) , 10.1023/A:1011139631724
Adhish Prasoon, Kersten Petersen, Christian Igel, François Lauze, Erik Dam, Mads Nielsen, Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network medical image computing and computer assisted intervention. ,vol. 16, pp. 246- 253 ,(2013) , 10.1007/978-3-642-40763-5_31
Yann LeCun, Koray Kavukcuoglu, Clement Farabet, Convolutional networks and applications in vision international symposium on circuits and systems. pp. 253- 256 ,(2010) , 10.1109/ISCAS.2010.5537907
Timo Ojala, Matti Pietikäinen, David Harwood, A comparative study of texture measures with classification based on featured distributions Pattern Recognition. ,vol. 29, pp. 51- 59 ,(1996) , 10.1016/0031-3203(95)00067-4
Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson, CNN Features Off-the-Shelf: An Astounding Baseline for Recognition computer vision and pattern recognition. pp. 512- 519 ,(2014) , 10.1109/CVPRW.2014.131
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei, ImageNet: A large-scale hierarchical image database computer vision and pattern recognition. pp. 248- 255 ,(2009) , 10.1109/CVPR.2009.5206848
Yangqing Jia, Eric Tzeng, Judy Hoffman, Jeff Donahue, Trevor Darrell, Ning Zhang, Oriol Vinyals, DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition international conference on machine learning. pp. 647- 655 ,(2014)
Maxime Oquab, Leon Bottou, Ivan Laptev, Josef Sivic, Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks computer vision and pattern recognition. pp. 1717- 1724 ,(2014) , 10.1109/CVPR.2014.222
Bram van Ginneken, Laurens Hogeweg, Mathias Prokop, Computer-aided diagnosis in chest radiography: Beyond nodules European Journal of Radiology. ,vol. 72, pp. 226- 230 ,(2009) , 10.1016/J.EJRAD.2009.05.061