-
1
-
-
84946722304
-
Multi-Task CNN model for attribute prediction
-
A.H. Abdulnabi, G. Wang, J. Lu and K. Jia. Multi-Task CNN model for attribute prediction. IEEE Transactions on Multimedia. 17(11):1949-1959, 2015.
-
(2015)
IEEE Transactions on Multimedia
, vol.17
, Issue.11
, pp. 1949-1959
-
-
Abdulnabi, A.H.1
Wang, G.2
Lu, J.3
Jia, K.4
-
3
-
-
84907015707
-
-
Internet:, Jun. 8, 2016
-
"Brain Tumor Statistics" Internet: http://www.abta.org/about-us/news/brain-Tumor-statistics/, [Jun. 8, 2016], .
-
Brain Tumor Statistics
-
-
-
8
-
-
85006915396
-
Automatic histopathology image analysis with CNNs
-
L. Hou, K. Singh, D. Samaras, T.M. Kurc, Y. Gao, R.J. Seidman and J.H. Saltz. Automatic histopathology image analysis with CNNs. Proceedings of the New York Scientific Data Summit (NYSDS). 2016.
-
(2016)
Proceedings of the New York Scientific Data Summit (NYSDS)
-
-
Hou, L.1
Singh, K.2
Samaras, D.3
Kurc, T.M.4
Gao, Y.5
Seidman, R.J.6
Saltz, J.H.7
-
11
-
-
84893363900
-
Machine-based morphologic analysis of glioblastoma using whole-slide pathology images uncovers clinically relevant molecular correlates
-
J. Kong, L.A.D. Cooper, F. Wang, J. Gao, G. Teodoro, L. Scarpace, T. Mikkelsen, M.J. Schiederjan, C.S. Moreno, J.H. Saltz and D.J. Brat. Machine-based morphologic analysis of glioblastoma using whole-slide pathology images uncovers clinically relevant molecular correlates. PLoSOne. 2013.
-
(2013)
PLoSOne
-
-
Kong, J.1
Cooper, L.A.D.2
Wang, F.3
Gao, J.4
Teodoro, G.5
Scarpace, L.6
Mikkelsen, T.7
Schiederjan, M.J.8
Moreno, C.S.9
Saltz, J.H.10
Brat, D.J.11
-
13
-
-
85020201947
-
-
Lasagne. https://github.com/Lasagne/Lasagne.
-
Lasagne
-
-
-
14
-
-
34547122001
-
The 2007 WHO classification of tumours of the central nervous system
-
D.N. Louis, H. Ohgaki, O.D. Wiestler, W.K. Cavenee, P.C. Burger, A. Jouvet, B.W. Scheithauer and P. Kleihues. The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathologica. 2007.
-
(2007)
Acta Neuropathologica
-
-
Louis, D.N.1
Ohgaki, H.2
Wiestler, O.D.3
Cavenee, W.K.4
Burger, P.C.5
Jouvet, A.6
Scheithauer, B.W.7
Kleihues, P.8
-
15
-
-
84966687479
-
The 2016 world health organization classification of tumors of the central nervous system
-
D.N. Louis, A. Perry, G. Reifenberger, A. von Deimling, D. Figarella-Branger, W.K. Cavenee, H. Ohgaki, O.D. Wiestler, P. Kleihues and D.W. Ellison. The 2016 world health organization classification of tumors of the central nervous system. Acta Neuropathologica. 2016.
-
(2016)
Acta Neuropathologica
-
-
Louis, D.N.1
Perry, A.2
Reifenberger, G.3
Deimling, A.V.4
Figarella-Branger, D.5
Cavenee, W.K.6
Ohgaki, H.7
Wiestler, O.D.8
Kleihues, P.9
Ellison, D.W.10
-
19
-
-
80555140075
-
Scikit-learn: Machine learning in python
-
F. Pedregosa, G. Varoquaux, A. Gramfort and V. Michel. Scikit-learn: Machine learning in python. Journal of Machine Learning Research. 12(1):2825-2830, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, Issue.1
, pp. 2825-2830
-
-
Pedregosa, F.1
Varoquaux, G.2
Gramfort, A.3
Michel, V.4
-
22
-
-
84968542311
-
Locality sensitive deep learning for detection and classification of nuclei in routine colon cancer histology images
-
K. Sirikunwattana, S.E.A. Raza, Y.W. Tsang, D.R.J. Snead, I.A. Cree and N.M. Rajpoot. Locality sensitive deep learning for detection and classification of nuclei in routine colon cancer histology images. IEEE Transactions in Medical Imaging. 35(5):1196-1206, 2016.
-
(2016)
IEEE Transactions in Medical Imaging
, vol.35
, Issue.5
, pp. 1196-1206
-
-
Sirikunwattana, K.1
Raza, S.E.A.2
Tsang, Y.W.3
Snead, D.R.J.4
Cree, I.A.5
Rajpoot, N.M.6
-
24
-
-
85020186049
-
Theano: A python framework for fast computation of mathematical expressions
-
The Theano Development Team
-
The Theano Development Team. Theano: A python framework for fast computation of mathematical expressions. ArXiv Preprint. 2016.
-
(2016)
ArXiv Preprint
-
-
-
25
-
-
84876258818
-
Classification of cell nuclei using shape and texture indices
-
G. Thibault, B. Fertil, C. Navarro, S. Pereira, P. Cau, N. Levy, J. Sequiera and J. Marie. Classification of cell nuclei using shape and texture indices. International Journal of Pattern Recognition and Artificial Intelligence. 27(1), 2013.
-
(2013)
International Journal of Pattern Recognition and Artificial Intelligence.
, vol.27
, Issue.1
-
-
Thibault, G.1
Fertil, B.2
Navarro, C.3
Pereira, S.4
Cau, P.5
Levy, N.6
Sequiera, J.7
Marie, J.8
-
27
-
-
85032613319
-
Multi-loss regularized deep neural network
-
C. Xu, C. Lu, X. Liang, J. Gao, W. Zheng, T. Wang and S. Yan. Multi-loss regularized deep neural network. IEEE Transactions on Circuits and Systems for Video Technology. 2015.
-
(2015)
IEEE Transactions on Circuits and Systems for Video Technology
-
-
Xu, C.1
Lu, C.2
Liang, X.3
Gao, J.4
Zheng, W.5
Wang, T.6
Yan, S.7
-
28
-
-
85020226079
-
Patch-based convolutional neural network for whole slide tissue image classification
-
L. Hou, D. Samaras, T.M. Kurc, Y. Gao, J.E. Davis, J.H. Saltz. Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2014.
-
(2014)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
-
Hou, L.1
Samaras, D.2
Kurc, T.M.3
Gao, Y.4
Davis, J.E.5
Saltz, J.H.6
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