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Automated detection of sclerotic metastases (bone lesions) in Computed Tomography (CT) images has potential to be an important tool in clinical practice and research.
Cancer and bone 1
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Metastatic bone disease: clinical features, pathophysiology and treatment strategies
Coleman, R. (2001) · 2001
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A statistical 3-d pattern processing method for computer-aided detection of polyps in ct colonography
Göktürk, S. B., C. Tomasi, B. Acar, C. F. Beaulieu, D. S. Paik, R. B. Jeffrey, J. Yee, and Y. Napel (2001) · 2001
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Prostate cancer bone metastases promote both osteolytic and osteoblastic activity
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Optimizing the support vector machines (svm) committee configuration in a colonic polyp cad system
Yao, J., R. M. Summers, and A. K. Hara (2005) · 2005
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Automated spinal column extraction and partitioning
Yao, J., S. D. O’Connor, and R. M. Summers (2006b) · 2006
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Mechanisms of bone metastasis in prostate cancer: clinical implications
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The pharmacological management of skeletal-related events from metastatic tumors
Hitron, A. and V. Adams (2009) · 2009
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Bone health and prostate cancer
Saylor, P. and M. Smith (2010) · 2010
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Treatment and prevention of bone complications from prostate cancer
Lee, R. J., P. J. Saylor, and M. R. Smith (2011) · 2011
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Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis
Lu, L., M. Liu, X. Ye, S. Yu, and H. Huang (2011) · 2011
Cited alongside, same era.
Computer-aided detection of sclerotic bone metastases in the spine using watershed algorithm and support vector machines
Wiese, T., J. Burns, J. Yao, and R. M. Summers (2011) · 2011
Cited alongside, same era.
Improving neural networks by preventing co-adaptation of feature detectors
Hinton, G. E., N. Srivastava, A. Krizhevsky, I. Sutskever, and R. R. Salakhutdinov (2012) · 2012
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Automated detection of sclerotic metastases in the thoracolumbar spine at ct
Burns, J. E., J. Yao, T. S. Wiese, H. E. Muñoz, E. C. Jones, and R. M. Summers (2013) · 2013
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Mitosis detection in breast cancer histology images with deep neural networks
Cireşan, D. C., A. Giusti, L. M. Gambardella, and J. Schmidhuber (2013) · 2013
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Automatic detection of lytic and blastic thoracolumbar spine metastases on computed tomography
Hammon, M., P. Dankerl, A. Tsymbal, M. Wels, M. Kelm, M. May, M. Suehling, M. Uder, and A. Cavallaro (2013) · 2013
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Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network
Prasoon, A., K. Petersen, C. Igel, F. Lauze, E. Dam, and M. Nielsen (2013) · 2013
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Regularization of neural networks using dropconnect
Wan, L., M. Zeiler, S. Zhang, Y. L. Cun, and R. Fergus (2013) · 2013
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Imagenet classification with deep convolutional neural networks
Krizhevsky, A., I. Sutskever, and G. Hinton (2012) · 2012
Cited alongside, same era.
Detection of sclerotic bone metastases in the spine using watershed algorithm and graph cut
Wiese, T., J. Yao, J. E. Burns, and R. M. Summers (2012) · 2012
Cited alongside, same era.
Computer aided lytic bone metastasis detection using regular ct images
Yao, J., S. D. O’Connor, and R. Summers (2006a)
Cited in the paper.
Zeiler, M. D. and R. Fergus (2013) · 2013
Later among the works it cites.
Roth, H. R., L. Lu, A. Seff, K. M. Cherry, J. Hoffman, S. Wang, J. Liu, E. Turkbey, and R. M. Summers (2014) · 2014
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