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Accurate identification and localization of abnormalities from radiology images play an integral part in clinical diagnosis and treatment planning.
An introduction to roc analysis
T. Fawcett · 2006
Earlier work this paper cites.
754-2008 ieee standard for floating-point arithmetic
I. S. Committee et al · 2008
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Deep sparse rectifier neural networks
X. Glorot, A. Bordes, and Y. Bengio · 2011
Earlier work this paper cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Earlier work this paper cites.
Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
Earlier work this paper cites.
Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
Earlier work this paper cites.
TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng · 2015
Earlier work this paper cites.
Glaucoma detection based on deep convolutional neural network
X. Chen, Y. Xu, D. W. K. Wong, T. Y. Wong, and J. Liu · 2015
Earlier work this paper cites.
Fast r-cnn
R. Girshick · 2015
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Cited alongside, same era.
Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2015
Cited alongside, same era.
Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
Cited alongside, same era.
Deep multiple instance learning for image classification and auto-annotation
J. Wu, Y. Yu, C. Huang, and K. Yu · 2015
Cited alongside, same era.
A region based convolutional network for tumor detection and classification in breast mammography
A. Akselrod-Ballin, L. Karlinsky, S. Alpert, S. Hasoul, R. Ben-Ari, and E. Barkan · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Multiscale cnns for brain tumor segmentation and diagnosis
L. Zhao and K. Jia · 2016
Later among the works it cites.
Learning deep features for discriminative localization
B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba · 2016
Later among the works it cites.
Medical terminology systems: a body systems approach
B. A. Gylys and M. E. Wedding · 2017
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Densely connected convolutional networks
G. Huang, Z. Liu, K. Q. Weinberger, and L. van der Maaten · 2017
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Evaluate the malignancy of pulmonary nodules using the 3d deep leaky noisy-or network
F. Liao, M. Liang, Z. Li, X. Hu, and S. Song · 2017
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Attention correctness in neural image captioning
C. Liu, J. Mao, F. Sha, and A. L. Yuille · 2017
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K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Patch-based convolutional neural network for whole slide tissue image classification
L. Hou, D. Samaras, T. M. Kurc, Y. Gao, J. E. Davis, and J. H. Saltz · 2016
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Self-transfer learning for fully weakly supervised object localization
S. Hwang and H.-E. Kim · 2016
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Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
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You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
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Learning to read chest x-rays: recurrent neural cascade model for automated image annotation
H.-C. Shin, K. Roberts, L. Lu, D. Demner-Fushman, J. Yao, and R. M. Summers · 2016
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Multimodal neuroimaging feature learning with multimodal stacked deep polynomial networks for diagnosis of alzheimer’s disease
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Detecting cardiovascular disease from mammograms with deep learning
J. Wang, H. Ding, F. Azamian, B. Zhou, C. Iribarren, S. Molloi, and P. Baldi · 2017
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Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases
X. Wang, Y. Peng, L. Lu, Z. Lu, M. Bagheri, and R. M. Summers · 2017
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Tandemnet: Distilling knowledge from medical images using diagnostic reports as optional semantic references
Z. Zhang, P. Chen, M. Sapkota, and L. Yang · 2017
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Mdnet: a semantically and visually interpretable medical image diagnosis network
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Deep multi-instance networks with sparse label assignment for whole mammogram classification
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