-
1
-
-
79961108629
-
Reduced lung-cancer mortality with low-dose computed tomographic screening
-
D. R. Aberle, A. M. Adams, C. D. Berg, et al., "Reduced lung-cancer mortality with low-dose computed tomographic screening," New England Journal of Medicine, vol. 365, pp. 395-409, 2011.
-
(2011)
New England Journal of Medicine
, vol.365
, pp. 395-409
-
-
Aberle, D.R.1
Adams, A.M.2
Berg, C.D.3
-
2
-
-
77954657504
-
Comparing and combining algorithms for computeraided detection of pulmonary nodules in computed tomography scans: The ANODE09 study
-
B. van Ginneken, S. G. Armato, B. de Hoop, et al., "Comparing and combining algorithms for computeraided detection of pulmonary nodules in computed tomography scans: the ANODE09 study," Medical Image Analysis, vol. 14, pp. 707-722, 2010.
-
(2010)
Medical Image Analysis
, vol.14
, pp. 707-722
-
-
Van Ginneken, B.1
Armato, S.G.2
De Hoop, B.3
-
3
-
-
81555205692
-
Computer-aided diagnosis: How to move from the laboratory to the clinic
-
B. van Ginneken, C. M. Schaefer-Prokop, and M. Prokop, "Computer-aided diagnosis: How to move from the laboratory to the clinic," Radiology, vol. 261, pp. 719-732, 2011.
-
(2011)
Radiology
, vol.261
, pp. 719-732
-
-
Van Ginneken, B.1
Schaefer-Prokop, C.M.2
Prokop, M.3
-
4
-
-
80053446757
-
An analysis of singlelayer networks in unsupervised feature learning
-
A. Coates, H. Lee, and A. Y. Ng, "An analysis of singlelayer networks in unsupervised feature learning," in AISTATS, 2011.
-
(2011)
AISTATS
-
-
Coates, A.1
Lee, H.2
Ng, A.Y.3
-
5
-
-
84908537903
-
CNN features off-the-shelf: An astounding baseline for recognition
-
arXiv: 1403. 6382
-
A. S. Razavian, H. Azizpour, J. Sullivan, et al., "CNN features off-the-shelf: An astounding baseline for recognition," in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2014, arXiv: 1403. 6382.
-
(2014)
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
-
-
Razavian, A.S.1
Azizpour, H.2
Sullivan, J.3
-
6
-
-
79551579051
-
On combining computer-aided detection systems
-
M. Niemeijer, M. Loog, M. D. Abràmoff, et al., "On combining computer-aided detection systems," IEEE Transactions on Medical Imaging, vol. 30, pp. 215-223, 2011.
-
(2011)
IEEE Transactions on Medical Imaging
, vol.30
, pp. 215-223
-
-
Niemeijer, M.1
Loog, M.2
Abràmoff, M.D.3
-
7
-
-
85083951635
-
OverFeat: Integrated recognition, localization and detection using convolutional networks
-
April arXiv: 1312. 6229
-
P. Sermanet, D. Eigen, X. Zhang, et al., "OverFeat: Integrated recognition, localization and detection using convolutional networks," in International Conference on Learning Representations (ICLR 2014), April 2014, arXiv: 1312. 6229.
-
(2014)
International Conference on Learning Representations (ICLR 2014)
-
-
Sermanet, P.1
Eigen, D.2
Zhang, X.3
-
8
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks," in NIPS, 2012, pp. 1097-1105.
-
(2012)
NIPS
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
10
-
-
84909644435
-
A new 2. 5D representation for lymph node detection using random sets of deep convolutional neural network observations
-
H. R. Roth, L. Lu, A. Seff, et al., "A new 2. 5D representation for lymph node detection using random sets of deep convolutional neural network observations," in MICCAI, 2014, vol. 8673 of Lecture Notes in Computer Science, pp. 520-527.
-
(2014)
MICCAI of Lecture Notes in Computer Science
, vol.8673
, pp. 520-527
-
-
Roth, H.R.1
Lu, L.2
Seff, A.3
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