-
1
-
-
0003964363
-
-
American Cancer Society, American Cancer Society, Atlanta, GA, USA, 2016
-
American Cancer Society, "Cancer Facts & Figures 2016, " American Cancer Society, Atlanta, GA, USA, 2016.
-
(2016)
Cancer Facts & Figures
-
-
-
2
-
-
85009142740
-
-
Skincancer. org
-
Skincancer. org, "Melanoma-SkinCancer. org, " 2016. [Online]. Available: http: //www. skincancer. org/skin-cancer-information/.
-
(2016)
Melanoma-SkinCancer. Org
-
-
-
3
-
-
0034661340
-
Early detection and treatment of skin cancer
-
A. F. Jerant, J. T. Johnson, C. Sheridan and T. J. Caffrey, "Early detection and treatment of skin cancer, " American family physician, no. 2, pp. 357-386, 2000.
-
(2000)
American Family Physician
, Issue.2
, pp. 357-386
-
-
Jerant, A.F.1
Johnson, J.T.2
Sheridan, C.3
Caffrey, T.J.4
-
4
-
-
0028293225
-
The abcd rule of dermatoscopy: High prospective value in the diagnosis of doubtful melanocytic skin lesions
-
F. Nachbar, W. Stolz, T. Merkle, A. B Cognetta, T. Vogt, M. Landthaler, P. Bilek, O. B.-Falco, and G. Plewig, "The abcd rule of dermatoscopy: high prospective value in the diagnosis of doubtful melanocytic skin lesions, " Journal of the American Academy of Dermatology, vol. 30, no. 4, pp. 551-559, 1994.
-
(1994)
Journal of the American Academy of Dermatology
, vol.30
, Issue.4
, pp. 551-559
-
-
Nachbar, F.1
Stolz, W.2
Merkle, T.3
Cognetta, A.B.4
Vogt, T.5
Landthaler, M.6
Bilek, P.7
Falco, B.O.8
Plewig, G.9
-
5
-
-
0032415609
-
Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions: Comp. of the abcd rule of dermatoscopy and a new 7-point checklist based on pattern analysis
-
G. Argenziano, G. Fabbrocini, P. Carli, V. De Giorgi, E. Sammarco, and M. Delfino, "Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions: comp. of the abcd rule of dermatoscopy and a new 7-point checklist based on pattern analysis, " Archives of Dermatology, vol. 134, no. 12, pp. 1563-1570, 1998.
-
(1998)
Archives of Dermatology
, vol.134
, Issue.12
, pp. 1563-1570
-
-
Argenziano, G.1
Fabbrocini, G.2
Carli, P.3
De Giorgi, V.4
Sammarco, E.5
Delfino, M.6
-
6
-
-
70349414488
-
Overview of advanced computer vision systems for skin lesions characterization
-
I. Maglogiannis and C. Doukas, "Overview of Advanced Computer Vision Systems for Skin Lesions Characterization, " IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 5, pp. 721-733, 2009.
-
(2009)
IEEE Transactions on Information Technology in Biomedicine
, vol.13
, Issue.5
, pp. 721-733
-
-
Maglogiannis, I.1
Doukas, C.2
-
7
-
-
84869084264
-
Computerized analysis of pigmented skin lesions: A review
-
K. Korotkov and R. Garcia, "Computerized analysis of pigmented skin lesions: A review, " Artificial intel. in medicine, pp. 69-90, 2012.
-
(2012)
Artificial Intel. in Medicine
, pp. 69-90
-
-
Korotkov, K.1
Garcia, R.2
-
8
-
-
58149164864
-
Lesion border detection in dermoscopy images
-
M. Celebi, H. Iyatomi, G. Schaefer, and W. V. Stoecker, "Lesion border detection in dermoscopy images, " Comput. Med. Imag. Graph., vol. 33, no. 2, pp. 148-153, 2009.
-
(2009)
Comput. Med. Imag. Graph
, vol.33
, Issue.2
, pp. 148-153
-
-
Celebi, M.1
Iyatomi, H.2
Schaefer, G.3
Stoecker, W.V.4
-
9
-
-
48249158393
-
Border detection in dermoscopy images using statistical region merging
-
M. Emre Celebi, H. A. Kingravi, H. Iyatomi, Y. Alp Aslandogan, W. V. Stoecker, R. H. Moss, J. M. Malters, J. M. Grichnik, A. A. Marghoob, H. S. Rabinovitz, and S. W. Menzies, "Border detection in dermoscopy images using statistical region merging, " Skin Research and Technology, vol. 14, pp. 347-353, 2008.
-
(2008)
Skin Research and Technology
, vol.14
, pp. 347-353
-
-
Emre Celebi, M.1
Kingravi, H.A.2
Iyatomi, H.3
Alp Aslandogan, Y.4
Stoecker, W.V.5
Moss, R.H.6
Malters, J.M.7
Grichnik, J.M.8
Marghoob, A.A.9
Rabinovitz, H.S.10
Menzies, S.W.11
-
10
-
-
84897374395
-
Segmentation of skin lesions from digital images using joint statistical texture distinctiveness
-
J. Glaister, A. Wong, and D. A. Clausi, "Segmentation of Skin Lesions From Digital Images Using Joint Statistical Texture Distinctiveness, " IEEE Transactions on Biomedical Engineering, vol. 61, pp. 1220-1230, 2014.
-
(2014)
IEEE Transactions on Biomedical Engineering
, vol.61
, pp. 1220-1230
-
-
Glaister, J.1
Wong, A.2
Clausi, D.A.3
-
11
-
-
84858992685
-
Pigmented skin lesion segmentation on macroscopic images
-
P. Cavalcanti, Y. Yari, and J. Scharcanski, "Pigmented skin lesion segmentation on macroscopic images, " in Proc. 25th International Conference on Image Vision Computing, pp. 1-7, 2010.
-
(2010)
Proc. 25th International Conference on Image Vision Computing
, pp. 1-7
-
-
Cavalcanti, P.1
Yari, Y.2
Scharcanski, J.3
-
12
-
-
78650794460
-
Shading attenuation in human skin color images
-
P. G. Cavalcanti, J. Scharcanski, and C. Lopes, "Shading Attenuation in Human Skin Color Images, " in Advances in Visual Computing: 6th International Symposium, pp. 190-198, 2010.
-
(2010)
Advances in Visual Computing: 6th International Symposium
, pp. 190-198
-
-
Cavalcanti, P.G.1
Scharcanski, J.2
Lopes, C.3
-
13
-
-
79960055874
-
Automated prescreening of pigmented skin lesions using standard cameras
-
Elsevier
-
P. G. Cavalcanti and J. Scharcanski, "Automated prescreening of pigmented skin lesions using standard cameras, " Computerized Medical Imaging and Graphics, Elsevier, no. 6, pp. 481-491, 2011.
-
(2011)
Computerized Medical Imaging and Graphics
, Issue.6
, pp. 481-491
-
-
Cavalcanti, P.G.1
Scharcanski, J.2
-
14
-
-
84879943225
-
MSIM: Multistage illumination modeling of dermatological photographs for illumination-corrected skin lesion analysis
-
J. Glaister, R. Amelard, A. Wong, and D. A. Clausi, "MSIM: Multistage Illumination Modeling of Dermatological Photographs for Illumination-Corrected Skin Lesion Analysis, " IEEE Transactions on Biomedical Engineering, vol. 60, pp. 1873-1883, 2013.
-
(2013)
IEEE Transactions on Biomedical Engineering
, vol.60
, pp. 1873-1883
-
-
Glaister, J.1
Amelard, R.2
Wong, A.3
Clausi, D.A.4
-
15
-
-
84910651844
-
Deep learning in neural networks: An overview
-
J. Schmidhuber, "Deep learning in neural networks: An overview, " Neural Networks, vol. 61, pp. 85-117, 2015.
-
(2015)
Neural Networks
, vol.61
, pp. 85-117
-
-
Schmidhuber, J.1
-
16
-
-
84903724014
-
Deep learning: Methods and applications
-
L. Deng and D. Yu, "Deep Learning: Methods and Applications, " Found. Trends Signal Process., vol. 7, pp. 197-387, 2014.
-
(2014)
Found. Trends Signal Process
, vol.7
, pp. 197-387
-
-
Deng, L.1
Yu, D.2
-
17
-
-
84959212183
-
Saliency detection by multicontext deep learning
-
R. Zhao, W. Ouyang, H. Li, and X. Wang, "Saliency detection by multicontext deep learning, " in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1265-1274, 2015.
-
(2015)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 1265-1274
-
-
Zhao, R.1
Ouyang, W.2
Li, H.3
Wang, X.4
-
19
-
-
84952669511
-
-
arXiv preprint arXiv: 1505. 03540
-
M. Havaei, A. Davy, D. Warde-Farley, A. Biard, A. Courville, Y. Bengio, C. Pal, P.-M. Jodoin, and H. Larochelle, "Brain Tumor Segmentation with Deep Neural Networks, " arXiv preprint arXiv: 1505. 03540, 2015.
-
(2015)
Brain Tumor Segmentation with Deep Neural Networks
-
-
Havaei, M.1
Davy, A.2
Warde-Farley, D.3
Biard, A.4
Courville, A.5
Bengio, Y.6
Pal, C.7
Jodoin, P.-M.8
Larochelle, H.9
-
20
-
-
84961642255
-
Deep convolutional neural networks for the segmentation of gliomas in multi-sequence mri
-
S. Pereira, A. Pinto, V. Alves and C. Silva, "Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI, " Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, pp. 131-143, 2016.
-
(2016)
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
, pp. 131-143
-
-
Pereira, S.1
Pinto, A.2
Alves, V.3
Silva, C.4
-
21
-
-
84882376954
-
Guided image filtering
-
K. He, J. Sun, and X. Tang, "Guided Image Filtering, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, pp. 1397-1409, 2013.
-
(2013)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.35
, pp. 1397-1409
-
-
He, K.1
Sun, J.2
Tang, X.3
-
22
-
-
85019133448
-
-
[Online]. Available: http: //vip. uwaterloo. ca/demos/skin-cancer-detection/.
-
-
-
-
23
-
-
84913580146
-
Caffe: Convolutional architecture for fast feature embedding
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, "Caffe: Convolutional Architecture for Fast Feature Embedding, " in Proc. of the 22nd ACM international conference on Multimedia, pp. 675-678, 2014.
-
(2014)
Proc. of the 22nd ACM International Conference on Multimedia
, pp. 675-678
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
24
-
-
84990043910
-
-
Department of Systems Engineering, University of Waterloo, Waterloo, ON, Canada
-
J. Glaister, "Automatic segmentation of skin lesions from dermatological photographs, " Department of Systems Engineering, University of Waterloo, Waterloo, ON, Canada, 2013.
-
(2013)
Automatic Segmentation of Skin Lesions from Dermatological Photographs
-
-
Glaister, J.1
|