-
2
-
-
0013635683
-
Texture discrimination: Radiologist, machine and man
-
R. F. Wagner, M. F. Insana, D. G. Brown, B. S. Garra, and R. J. Jennings, "Texture discrimination: Radiologist, machine and man, " Vis.: Coding Efficiency, vol. 558, pp. 310-318, 1990.
-
(1990)
Vis.: Coding Efficiency
, vol.558
, pp. 310-318
-
-
Wagner, R.F.1
Insana, M.F.2
Brown, D.G.3
Garra, B.S.4
Jennings, R.J.5
-
3
-
-
0033008912
-
Detection failures in spiral CT screening for lung cancer: Analysis of CT findings 1
-
R. Kakinuma et al., "Detection failures in spiral CT screening for lung cancer: Analysis of CT findings 1, " Radiology, vol. 212, no. 1, pp. 61-66, 1999.
-
(1999)
Radiology
, vol.212
, Issue.1
, pp. 61-66
-
-
Kakinuma, R.1
-
4
-
-
84875992416
-
Feature-based image patch approximation for lung tissue classification
-
Apr.
-
Y. Song, W. Cai, Y. Zhou, and D. D. Feng, "Feature-based image patch approximation for lung tissue classification, " IEEE Trans. Med. Imag., vol. 32, no. 4, pp. 797-808, Apr. 2013.
-
(2013)
IEEE Trans. Med. Imag.
, vol.32
, Issue.4
, pp. 797-808
-
-
Song, Y.1
Cai, W.2
Zhou, Y.3
Feng, D.D.4
-
5
-
-
84902089701
-
Lung texture classification using bag of visual words
-
M. Asherov, I. Diamant, and H. Greenspan, "Lung texture classification using bag of visual words, " in Proc. SPIE, vol. 9035, 2014, Art. no. 90 352K.
-
(2014)
Proc. SPIE
, vol.9035
-
-
Asherov, M.1
Diamant, I.2
Greenspan, H.3
-
6
-
-
84863524966
-
Near-affine-invariant texture learning for lung tissue analysis using isotropic wavelet frames
-
Jul.
-
A. Depeursinge, D. Van de Ville, A. Platon, A. Geissbuhler, P.-A. Poletti, and H. Müller, "Near-affine-invariant texture learning for lung tissue analysis using isotropic wavelet frames, " IEEE Trans. Inf. Technol. Biomed., vol. 16, no. 4, pp. 665-675, Jul. 2012.
-
(2012)
IEEE Trans. Inf. Technol. Biomed.
, vol.16
, Issue.4
, pp. 665-675
-
-
Depeursinge, A.1
Ville De Van, D.2
Platon, A.3
Geissbuhler, A.4
Poletti, P.-A.5
Müller, H.6
-
7
-
-
84929485011
-
Classification of interstitial lung disease patterns using local DCT features and random forest
-
M. Anthimopoulos, S. Christodoulidis, A. Christe, and S. Mougiakakou, "Classification of interstitial lung disease patterns using local DCT features and random forest, " in Proc. 2014 36th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., 2014, pp. 6040-6043.
-
(2014)
Proc. 2014 36th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc.
, pp. 6040-6043
-
-
Anthimopoulos, M.1
Christodoulidis, S.2
Christe, A.3
Mougiakakou, S.4
-
8
-
-
33645675961
-
MDCTbased 3-D texture classification of emphysema and early smoking related lung pathologies
-
Apr.
-
Y. Xu, M. Sonka, G. McLennan, J. Guo, and E. A. Hoffman, "MDCTbased 3-D texture classification of emphysema and early smoking related lung pathologies, " IEEE Trans. Med. Imag., vol. 25, no. 4, pp. 464-475, Apr. 2006.
-
(2006)
IEEE Trans. Med. Imag.
, vol.25
, Issue.4
, pp. 464-475
-
-
Xu, Y.1
Sonka, M.2
McLennan, G.3
Guo, J.4
Hoffman, E.A.5
-
9
-
-
84897573504
-
Discriminative data transform for image feature extraction and classification
-
Springer-Verlag
-
Y. Song et al., "Discriminative data transform for image feature extraction and classification, " in Proc. Med. Image Comput. Comput.-Assisted Intervention, Springer-Verlag, 2013, pp. 452-459.
-
(2013)
Proc. Med. Image Comput. Comput.-Assisted Intervention
, pp. 452-459
-
-
Song, Y.1
-
10
-
-
77955268957
-
Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography
-
A. Depeursinge et al., "Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography, " Artif. Intell. Med., vol. 50, no. 1, pp. 13-21, 2010.
-
(2010)
Artif. Intell. Med.
, vol.50
, Issue.1
, pp. 13-21
-
-
Depeursinge, A.1
-
11
-
-
84988815648
-
Differentiation of several interstitial lung disease patterns in HRCT images using support vector machine: Role of databases on performance
-
M. Kale, S. Mukhopadhyay, J. K. Dash, M. Garg, and N. Khandelwal, "Differentiation of several interstitial lung disease patterns in HRCT images using support vector machine: Role of databases on performance, " in Proc. SPIE, vol. 9785, 2016, Art. no. 97852Z.
-
(2016)
Proc. SPIE
, vol.9785
-
-
Kale, M.1
Mukhopadhyay, S.2
Dash, J.K.3
Garg, M.4
Khandelwal, N.5
-
12
-
-
35148830871
-
Nonlinear histogram binning for quantitative analysis of lung tissue fibrosis in high-resolution CT data
-
V. A. Zavaletta, B. J. Bartholmai, and R. A. Robb, "Nonlinear histogram binning for quantitative analysis of lung tissue fibrosis in high-resolution CT data, " Proc. SPIE, vol. 6511, 2007, Art. no. 65111Q.
-
(2007)
Proc. SPIE
, vol.6511
-
-
Zavaletta, V.A.1
Bartholmai, B.J.2
Robb, R.A.3
-
13
-
-
84861385969
-
Automatic detection and quantification of tree-in-bud (TIB) opacities from CT scans
-
Jun.
-
U. Bagci et al., "Automatic detection and quantification of tree-in-bud (TIB) opacities from CT scans, " IEEE Trans. Biomed. Eng., vol. 59, no. 6, pp. 1620-1632, Jun. 2012.
-
(2012)
IEEE Trans. Biomed. Eng.
, vol.59
, Issue.6
, pp. 1620-1632
-
-
Bagci, U.1
-
14
-
-
82255181718
-
Computer-aided detection of ground glass nodules in thoracic CT images using shape, intensity and context features
-
Springer-Verlag
-
C. Jacobs, C. I. Sánchez, S. C. Saur, T. Twellmann, P. A. de Jong, andB. van Ginneken, "Computer-aided detection of ground glass nodules in thoracic CT images using shape, intensity and context features, " in Proc. Med. Image Comput. Comput.-Assisted Intervention, Springer-Verlag, 2011, pp. 207-214.
-
(2011)
Proc. Med. Image Comput. Comput.-Assisted Intervention
, pp. 207-214
-
-
Jacobs, C.1
Sánchez, C.I.2
Saur, S.C.3
Twellmann, T.4
De Jong, P.A.5
Van Ginneken, B.6
-
15
-
-
84924725055
-
Recognizing common CT imaging signs of lung diseases through a new feature selection method based on fisher criterion and genetic optimization
-
Mar.
-
X. Liu, L. Ma, L. Song, Y. Zhao, X. Zhao, and C. Zhou, "Recognizing common CT imaging signs of lung diseases through a new feature selection method based on fisher criterion and genetic optimization, " IEEE J. Biomed. Health Informat., vol. 19, no. 2, pp. 635-647, Mar. 2015.
-
(2015)
IEEE J. Biomed. Health Informat.
, vol.19
, Issue.2
, pp. 635-647
-
-
Liu, X.1
Ma, L.2
Song, L.3
Zhao, Y.4
Zhao, X.5
Zhou, C.6
-
16
-
-
82255181717
-
Lung texture classification using locally-oriented Riesz components
-
Springer-Verlag
-
A. Depeursinge, A. Foncubierta-Rodriguez, D. Van de Ville, and H. Müller, "Lung texture classification using locally-oriented Riesz components, " in Proc. Med. Image Comput. Comput.-Assisted Intervention, Springer-Verlag, 2011, pp. 231-238.
-
(2011)
Proc. Med. Image Comput. Comput.-Assisted Intervention
, pp. 231-238
-
-
Depeursinge, A.1
Foncubierta-Rodriguez, A.2
Ville De Van, D.3
Müller, H.4
-
17
-
-
84872916361
-
Multiscale lung texture signature learning using the Riesz transform
-
Springer-Verlag
-
A. Depeursinge, A. Foncubierta-Rodriguez, D. Van de Ville, and H. Müller, "Multiscale lung texture signature learning using the Riesz transform, " in Proc. Med. Image Comput. Comput.-Assisted Intervention, Springer-Verlag, 2012, pp. 517-524.
-
(2012)
Proc. Med. Image Comput. Comput.-Assisted Intervention
, pp. 517-524
-
-
Depeursinge, A.1
Foncubierta-Rodriguez, A.2
Ville De Van, D.3
Müller, H.4
-
18
-
-
76249103656
-
Quantitative analysis of pulmonary emphysema using local binary patterns
-
Feb.
-
L. Sørensen, S. B. Shaker, and M. De Bruijne, "Quantitative analysis of pulmonary emphysema using local binary patterns, " IEEE Trans. Med. Imag., vol. 29, no. 2, pp. 559-569, Feb. 2010.
-
(2010)
IEEE Trans. Med. Imag.
, vol.29
, Issue.2
, pp. 559-569
-
-
Sørensen, L.1
Shaker, S.B.2
De Bruijne, M.3
-
19
-
-
84968590883
-
Boosted multifold sparse representation with application to ILD classification
-
Y. Song, W. Cai, H. Huang, Y. Zhou, Y. Wang, and D. Feng, "Boosted multifold sparse representation with application to ILD classification, " in Proc. 11th Int. Symp. Biomed. Imag., 2014, pp. 1023-1026.
-
(2014)
Proc. 11th Int. Symp. Biomed. Imag.
, pp. 1023-1026
-
-
Song, Y.1
Cai, W.2
Huang, H.3
Zhou, Y.4
Wang, Y.5
Feng, D.6
-
20
-
-
84906980116
-
Large margin aggregation of local estimates for medical image classification
-
Springer-Verlag
-
Y. Song, W. Cai, H. Huang, Y. Zhou, D. D. Feng, and M. Chen, "Large margin aggregation of local estimates for medical image classification, " in Proc. Med. Image Comput. Comput.-Assisted Intervention, Springer-Verlag, 2014, pp. 196-203.
-
(2014)
Proc. Med. Image Comput. Comput.-Assisted Intervention
, pp. 196-203
-
-
Song, Y.1
Cai, W.2
Huang, H.3
Zhou, Y.4
Feng, D.D.5
Chen, M.6
-
21
-
-
84930947629
-
Large margin local estimate with applications to medical image classification
-
Jun.
-
Y. Song et al., "Large margin local estimate with applications to medical image classification, " IEEE Trans. Med. Imag., vol. 34, no. 6, pp. 1362-1377, Jun. 2015.
-
(2015)
IEEE Trans. Med. Imag.
, vol.34
, Issue.6
, pp. 1362-1377
-
-
Song, Y.1
-
22
-
-
84961371685
-
Localityconstrained subcluster representation ensemble for lung image classification
-
Y. Song, W. Cai, H. Huang, Y. Zhou, Y. Wang, and D. D. Feng, "Localityconstrained subcluster representation ensemble for lung image classification, " Med. Image Anal., vol. 22, no. 1, pp. 102-113, 2015.
-
(2015)
Med. Image Anal.
, vol.22
, Issue.1
, pp. 102-113
-
-
Song, Y.1
Cai, W.2
Huang, H.3
Zhou, Y.4
Wang, Y.5
Feng, D.D.6
-
23
-
-
0032803024
-
Computer recognition of regional lung disease patterns
-
R. Uppaluri, E. A. Hoffman, M. Sonka, P. G. Hartley, G. W. Hunninghake, and G. McLennan, "Computer recognition of regional lung disease patterns, " Amer. J. Respiratory Critical CareMed., vol. 160, no. 2, pp. 648-654, 1999.
-
(1999)
Amer. J. Respiratory Critical CareMed.
, vol.160
, Issue.2
, pp. 648-654
-
-
Uppaluri, R.1
Hoffman, E.A.2
Sonka, M.3
Hartley, P.G.4
Hunninghake, G.W.5
McLennan, G.6
-
24
-
-
84900818729
-
A review on segmentation of positron emission tomography images
-
B. Foster, U. Bagci, A. Mansoor, Z. Xu, and D. J. Mollura, "A review on segmentation of positron emission tomography images, " Comput. Biol. Med., vol. 50, pp. 76-96, 2014.
-
(2014)
Comput. Biol. Med.
, vol.50
, pp. 76-96
-
-
Foster, B.1
Bagci, U.2
Mansoor, A.3
Xu, Z.4
Mollura, D.J.5
-
25
-
-
84880425615
-
Synergistic combination of clinical and imaging features predicts abnormal imaging patterns of pulmonary infections
-
U. Bagci, K. Jaster-Miller, K. N. Olivier, J. Yao, and D. J. Mollura, "Synergistic combination of clinical and imaging features predicts abnormal imaging patterns of pulmonary infections, " Comput. Biol. Med., vol. 43, no. 9, pp. 1241-1251, 2013.
-
(2013)
Comput. Biol. Med.
, vol.43
, Issue.9
, pp. 1241-1251
-
-
Bagci, U.1
Jaster-Miller, K.2
Olivier, K.N.3
Yao, J.4
Mollura, D.J.5
-
26
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
G. E. Hinton, S. Osindero, and Y.-W. Teh, "A fast learning algorithm for deep belief nets, " Neural Comput., vol. 18, no. 7, pp. 1527-1554, 2006.
-
(2006)
Neural Comput.
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.-W.3
-
27
-
-
71149119164
-
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
-
H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng, "Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations, " in Proc. 26th Annu. Int. Conf. Mach. Learn., ACM, 2009, pp. 609-616.
-
(2009)
Proc. 26th Annu. Int. Conf. Mach. Learn., ACM
, pp. 609-616
-
-
Lee, H.1
Grosse, R.2
Ranganath, R.3
Ng, A.Y.4
-
28
-
-
84907019192
-
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
-
H.-I. Suk et al., "Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis, " NeuroImage, vol. 101, pp. 569-582, 2014.
-
(2014)
NeuroImage
, vol.101
, pp. 569-582
-
-
Suk, H.-I.1
-
29
-
-
84959375736
-
Stacked sparse autoencoder (SSAE) for nuclei detection on breast cancer histopathology images
-
Jan.
-
J. Xu et al., "Stacked sparse autoencoder (SSAE) for nuclei detection on breast cancer histopathology images, " IEEE Trans. Med. Imag., vol. 35, no. 1, pp. 119-130, Jan. 2016.
-
(2016)
IEEE Trans. Med. Imag.
, vol.35
, Issue.1
, pp. 119-130
-
-
Xu, J.1
-
30
-
-
84886531793
-
Lung image patch classification with automatic feature learning
-
Q. Li, W. Cai, and D. D. Feng, "Lung image patch classification with automatic feature learning, " in Proc. 2013 35th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., 2013, pp. 6079-6082.
-
(2013)
Proc. 2013 35th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc.
, pp. 6079-6082
-
-
Li, Q.1
Cai, W.2
Feng, D.D.3
-
31
-
-
84917707434
-
Learning features for tissue classification with the classification restricted Boltzmann machine
-
Springer
-
G. van Tulder and M. de Bruijne, "Learning features for tissue classification with the classification restricted Boltzmann machine, " in Proc. Med. Comput. Vis.: Algorithms Big Data, Springer, 2014, pp. 47-58.
-
(2014)
Proc. Med. Comput. Vis.: Algorithms Big Data
, pp. 47-58
-
-
Van Tulder, G.1
De Bruijne, M.2
-
32
-
-
84968572560
-
Combining generative and discriminative representation learning for lung CT analysis with convolutional restricted Boltzmann machines
-
May
-
G. van Tulder and M. de Bruijne, "Combining generative and discriminative representation learning for lung CT analysis with convolutional restricted Boltzmann machines, " IEEE Trans. Med. Imag., vol. 35, no. 5, pp. 1262-1272, May 2016.
-
(2016)
IEEE Trans. Med. Imag.
, vol.35
, Issue.5
, pp. 1262-1272
-
-
Van Tulder, G.1
De Bruijne, M.2
-
33
-
-
84876231242
-
ImageNet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton, "ImageNet classification with deep convolutional neural networks, " in Adv. Neural Inf. Process. Syst., 2012, pp. 1097-1105.
-
(2012)
Adv. Neural Inf. Process. Syst.
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
35
-
-
84877789057
-
Deep neural networks segment neuronal membranes in electron microscopy images
-
D. Ciresan, A. Giusti, L. M. Gambardella, and J. Schmidhuber, "Deep neural networks segment neuronal membranes in electron microscopy images, " in Proc. Adv. Neural Inf. Process. Syst., 2012, pp. 2843-2851.
-
(2012)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 2843-2851
-
-
Ciresan, D.1
Giusti, A.2
Gambardella, L.M.3
Schmidhuber, J.4
-
36
-
-
84885899176
-
Mitosis detection in breast cancer histology images with deep neural networks
-
Springer
-
D. C. Cireşan, A. Giusti, L. M. Gambardella, and J. Schmidhuber, "Mitosis detection in breast cancer histology images with deep neural networks, " in Proc. Med. Image Comput. Comput.-Assisted Intervention, Springer, 2013, pp. 411-418.
-
(2013)
Proc. Med. Image Comput. Comput.-Assisted Intervention
, pp. 411-418
-
-
Cireşan, D.C.1
Giusti, A.2
Gambardella, L.M.3
Schmidhuber, J.4
-
37
-
-
84885933775
-
Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network
-
Springer
-
A. Prasoon, K. Petersen, C. Igel, F. Lauze, E. Dam, and M. Nielsen, "Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network, " in Proc. Med. Image Comput. Comput.-Assisted Intervention, Springer 2013, pp. 246-253.
-
(2013)
Proc. Med. Image Comput. Comput.-Assisted Intervention
, pp. 246-253
-
-
Prasoon, A.1
Petersen, K.2
Igel, C.3
Lauze, F.4
Dam, E.5
Nielsen, M.6
-
38
-
-
84921492033
-
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
-
W. Zhang et al., "Deep convolutional neural networks for multi-modality isointense infant brain image segmentation, " NeuroImage, vol. 108, pp. 214-224, 2015.
-
(2015)
NeuroImage
, vol.108
, pp. 214-224
-
-
Zhang, W.1
-
39
-
-
84940975497
-
A robust deep model for improved classification of AD/MCI patients
-
Sep.
-
F. Li, L. Tran, K.-H. Thung, S. Ji, D. Shen, and J. Li, "A robust deep model for improved classification of AD/MCI patients, " IEEE J. Biomed. Health Informat., vol. 19, no. 5, pp. 1610-1616, Sep. 2015.
-
(2015)
IEEE J. Biomed. Health Informat.
, vol.19
, Issue.5
, pp. 1610-1616
-
-
Li, F.1
Tran, L.2
Thung, K.-H.3
Ji, S.4
Shen, D.5
Li, J.6
-
40
-
-
84996503636
-
Characterization of lung nodule malignancy using hybrid shape and appearance features
-
Springer
-
M. Buty, Z. Xu, M. Gao, U. Bagci, A. Wu, and D. J. Mollura, "Characterization of lung nodule malignancy using hybrid shape and appearance features, " in Proc. Int. Conf. Med. Image Comput. Comput.-Assisted Intervention, Springer, 2016, pp. 662-670.
-
(2016)
Proc. Int. Conf. Med. Image Comput. Comput.-Assisted Intervention
, pp. 662-670
-
-
Buty, M.1
Xu, Z.2
Gao, M.3
Bagci, U.4
Wu, A.5
Mollura, D.J.6
-
41
-
-
84949924589
-
Medical image classification with convolutional neural network
-
Q. Li, W. Cai, X. Wang, Y. Zhou, D. D. Feng, and M. Chen, "Medical image classification with convolutional neural network, " in Proc. 2014 13th Int. Conf. Control Autom. Robot. Vis., 2014, pp. 844-848.
-
(2014)
Proc. 2014 13th Int. Conf. Control Autom. Robot. Vis.
, pp. 844-848
-
-
Li, Q.1
Cai, W.2
Wang, X.3
Zhou, Y.4
Feng, D.D.5
Chen, M.6
-
42
-
-
85041046467
-
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks
-
M. Gao et al., "Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks, " in Proc. Comput. Methods Biomech. Biomed. Eng.: Imag. Vis., 2016, pp. 1-6.
-
(2016)
Proc. Comput. Methods Biomech. Biomed. Eng.: Imag. Vis.
, pp. 1-6
-
-
Gao, M.1
-
43
-
-
84988844623
-
Increasing cad system efficacy for lung texture analysis using a convolutional network
-
S. R. Tarando, C. Fetita, A. Faccinetto, and P. Yves, "Increasing cad system efficacy for lung texture analysis using a convolutional network, " Proc. SPIE, vol. 9785, 2016, Art. no. 97850Q.
-
(2016)
Proc. SPIE
, vol.9785
-
-
Tarando, S.R.1
Fetita, C.2
Faccinetto, A.3
Yves, P.4
-
44
-
-
84968662241
-
Lung pattern classification for interstitial lung diseases using a deep convolutional neural network
-
May
-
M. Anthimopoulos, S. Christodoulidis, L. Ebner, A. Christe, and S. Mougiakakou, "Lung pattern classification for interstitial lung diseases using a deep convolutional neural network, " IEEE Trans. Med. Imag., vol. 35, no. 5, pp. 1207-1216, May 2016.
-
(2016)
IEEE Trans. Med. Imag.
, vol.35
, Issue.5
, pp. 1207-1216
-
-
Anthimopoulos, M.1
Christodoulidis, S.2
Ebner, L.3
Christe, A.4
Mougiakakou, S.5
-
45
-
-
84969962996
-
Deep convolutional neural networks for computeraided detection: CNN architectures, dataset characteristics and transfer learning
-
May
-
H.-C. Shin et al., "Deep convolutional neural networks for computeraided detection: CNN architectures, dataset characteristics and transfer learning, " IEEE Trans. Med. Imag., vol. 35, no. 5, pp. 1285-1298, May 2016.
-
(2016)
IEEE Trans. Med. Imag.
, vol.35
, Issue.5
, pp. 1285-1298
-
-
Shin, H.-C.1
-
47
-
-
84959210421
-
Understanding image representations by measuring their equivariance and equivalence
-
K. Lenc and A. Vedaldi, "Understanding image representations by measuring their equivariance and equivalence, " in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2015, pp. 991-999.
-
(2015)
Proc. IEEE Conf. Comput. Vis. Pattern Recog.
, pp. 991-999
-
-
Lenc, K.1
Vedaldi, A.2
-
48
-
-
84858080960
-
Building a reference multimedia database for interstitial lung diseases
-
A. Depeursinge, A. Vargas, A. Platon, A. Geissbuhler, P.-A. Poletti, and H. Müller, "Building a reference multimedia database for interstitial lung diseases, " Comput. Med. Imag. Graph., vol. 36, no. 3, pp. 227-238, 2012.
-
(2012)
Comput. Med. Imag. Graph.
, vol.36
, Issue.3
, pp. 227-238
-
-
Depeursinge, A.1
Vargas, A.2
Platon, A.3
Geissbuhler, A.4
Poletti, P.-A.5
Müller, H.6
-
49
-
-
0346586663
-
Smote: Synthetic minority over-sampling technique
-
N. V. Chawla, K. W. Bowyer, L. O. Hall, and W. P. Kegelmeyer, "Smote: Synthetic minority over-sampling technique, " J. Artif. Intell. Res., vol. 16, no. 1, pp. 321-357, 2011.
-
(2011)
J. Artif. Intell. Res.
, vol.16
, Issue.1
, pp. 321-357
-
-
Chawla, N.V.1
Bowyer, K.W.2
Hall, L.O.3
Kegelmeyer, W.P.4
-
52
-
-
33745953205
-
Local Gabor binary pattern histogram sequence (LGBPHS): A novel non-statistical model for face representation and recognition
-
W. Zhang, S. Shan, W. Gao, X. Chen, and H. Zhang, "Local Gabor binary pattern histogram sequence (LGBPHS): A novel non-statistical model for face representation and recognition, " in Proc. 10th IEEE Int. Conf. Comput. Vis., 2005, vol. 1, 2005, pp. 786-791.
-
(2005)
Proc. 10th IEEE Int. Conf. Comput. Vis.
, vol.1
, pp. 786-791
-
-
Zhang, W.1
Shan, S.2
Gao, W.3
Chen, X.4
Zhang, H.5
-
53
-
-
67650683006
-
Gabor volume based local binary pattern for face representation and recognition
-
Z. Lei, S. Liao, R. He, M. Pietikainen, and S. Z. Li, "Gabor volume based local binary pattern for face representation and recognition, " in Proc. 8th IEEE Int. Conf. Autom. Face Gesture Recognit., 2008, 2008, pp. 1-6.
-
(2008)
Proc. 8th IEEE Int. Conf. Autom. Face Gesture Recognit.
, vol.2008
, pp. 1-6
-
-
Lei, Z.1
Liao, S.2
He, R.3
Pietikainen, M.4
Li, S.Z.5
-
54
-
-
0022098435
-
Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters
-
J. G. Daugman, "Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters, " J. Opt. Soc. Amer. A, vol. 2, no. 7, pp. 1160-1169, 1985.
-
(1985)
J. Opt. Soc. Amer. A
, vol.2
, Issue.7
, pp. 1160-1169
-
-
Daugman, J.G.1
-
55
-
-
84865262286
-
Lung cancer detection using image processing techniques
-
M. S. Al-Tarawneh, "Lung cancer detection using image processing techniques, " Leonardo Electron. J. Practices Technol., vol. 11, no. 21, pp. 147-58, 2012.
-
(2012)
Leonardo Electron. J. Practices Technol.
, vol.11
, Issue.21
, pp. 147-158
-
-
Al-Tarawneh, M.S.1
-
56
-
-
57449115730
-
Automatic segmentation and recognition of lungs and lesion from CT scans of thorax
-
M. Kakar and D. R. Olsen, "Automatic segmentation and recognition of lungs and lesion from CT scans of thorax, " Comput. Med. Imag. Graph., vol. 33, no. 1, pp. 72-82, 2009.
-
(2009)
Comput. Med. Imag. Graph.
, vol.33
, Issue.1
, pp. 72-82
-
-
Kakar, M.1
Olsen, D.R.2
-
57
-
-
1442264195
-
Neural networks for computer-aided diagnosis: Detection of lung nodules in chest radiograms
-
Dec.
-
G. Coppini, S. Diciotti, M. Falchini, N. Villari, and G. Valli, "Neural networks for computer-aided diagnosis: Detection of lung nodules in chest radiograms, " IEEE Trans. Inf. Technol. Biomed., vol. 7, no. 4, pp. 344-357, Dec. 2003.
-
(2003)
IEEE Trans. Inf. Technol. Biomed.
, vol.7
, Issue.4
, pp. 344-357
-
-
Coppini, G.1
Diciotti, S.2
Falchini, M.3
Villari, N.4
Valli, G.5
-
58
-
-
0025263482
-
Multichannel texture analysis using localized spatial filters
-
Jan.
-
A. C. Bovik, M. Clark, and W. S. Geisler, "Multichannel texture analysis using localized spatial filters, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 12, no. 1, pp. 55-73, Jan. 1990.
-
(1990)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.12
, Issue.1
, pp. 55-73
-
-
Bovik, A.C.1
Clark, M.2
Geisler, W.S.3
-
59
-
-
34250168323
-
Rotation-invariant and scale-invariant Gabor features for texture image retrieval
-
J. Han and K.-K. Ma, "Rotation-invariant and scale-invariant Gabor features for texture image retrieval, " Image Vis. Comput., vol. 25, no. 9, pp. 1474-1481, 2007.
-
(2007)
Image Vis. Comput.
, vol.25
, Issue.9
, pp. 1474-1481
-
-
Han, J.1
Ma, K.-K.2
-
60
-
-
0036647193
-
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
-
Jul.
-
T. Ojala, M. Pietikäinen, and T. Mäenpää, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 7, pp. 971-987, Jul. 2002.
-
(2002)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.24
, Issue.7
, pp. 971-987
-
-
Ojala, T.1
Pietikäinen, M.2
Mäenpää, T.3
-
61
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition, " Proc. IEEE, vol. 86, no. 11, pp. 2278-2324, 1998.
-
(1998)
Proc. IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
62
-
-
84946769681
-
Deeply learned face representations are sparse, selective, and robust
-
Y. Sun, X. Wang, and X. Tang, "Deeply learned face representations are sparse, selective, and robust, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2015, pp. 2892-2900.
-
(2015)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 2892-2900
-
-
Sun, Y.1
Wang, X.2
Tang, X.3
-
63
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
R. Girshick, J. Donahue, T. Darrell, and J. Malik, "Rich feature hierarchies for accurate object detection and semantic segmentation, " in Proc. 2014 IEEE Conf. Comput. Vis. Pattern Recognit., 2014, pp. 580-587.
-
(2014)
Proc. 2014 IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 580-587
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
64
-
-
84959205572
-
Fully convolutional networks for semantic segmentation
-
J. Long, E. Shelhamer, and T. Darrell, "Fully convolutional networks for semantic segmentation, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2015, pp. 3431-3440.
-
(2015)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 3431-3440
-
-
Long, J.1
Shelhamer, E.2
Darrell, T.3
-
65
-
-
84904163933
-
Dropout: A simple way to prevent neural networks from overfitting
-
N. Srivastava, G. E. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov, "Dropout: A simple way to prevent neural networks from overfitting, " J. Mach. Learn. Res., vol. 15, no. 1, pp. 1929-1958, 2014.
-
(2014)
J. Mach. Learn. Res.
, vol.15
, Issue.1
, pp. 1929-1958
-
-
Srivastava, N.1
Hinton, G.E.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
66
-
-
84913580146
-
Caffe: Convolutional architecture for fast feature embedding
-
Y. Jia et al., "Caffe: Convolutional architecture for fast feature embedding, " in Proc. ACM Int. Conf. Multimedia, 2014, pp. 675-678.
-
(2014)
Proc. ACM Int. Conf. Multimedia
, pp. 675-678
-
-
Jia, Y.1
|