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This extended abstract describes the participation of RECOD Titans in parts 1 and 3 of the ISIC Challenge 2017 "Skin Lesion Analysis Towards Melanoma Detection" (ISBI 2017).
G. Argenziano, H. P. Soyer, V. De Giorgi, D. Piccolo, P. Carli, M. Delfino et al. , “Dermoscopy: a tutorial,” EDRA, Medical Publishing & New Media , 2002
2002
Earlier work this paper cites.
L. Ballerini, R. B. Fisher, B. Aldridge, and J. Rees, “A color and texture based hierarchical k-nn approach to the classification of non-melanoma skin lesions,” in CMIA , 2013, pp. 63–86
2013
Earlier work this paper cites.
T. Mendonça, P. M. Ferreira, J. S. Marques, A. R. Marcal, and J. Rozeira, “PH 2 — a dermoscopic image database for research and benchmarking,” in IEEE EMBC , 2013, pp. 5437–5440
2013
Earlier work this paper cites.
M. Fornaciali, S. Avila, M. Carvalho, and E. Valle, “Statistical learning approach for robust melanoma screening,” in SIBGRAPI , 2014, pp. 319–326
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
M. Carvalho, “Transfer schemes for deep learning in image classification,” Master’s thesis, University of Campinas, 2015
2015
Cited alongside, same era.
2015
Cited alongside, same era.
N. Codella, J. Cai, M. Abedini, R. Garnavi, A. Halpern, and J. R. Smith, “Deep learning, sparse coding, and svm for melanoma recognition in dermoscopy images,” in MLMI , 2015, pp. 118–126
2015
Cited alongside, same era.
2015
Cited alongside, same era.
2016
Later among the works it cites.
2016
Later among the works it cites.
A. Menegola, M. Fornaciali, R. Pires, F. V. Bittencourt, S. Avila, and E. Valle, “Knowledge transfer for melanoma screening with deep learning,” in IEEE ISBI , 2017
2017
Closest in time.
A. Esteva, B. Kuprel, R. A. Novoa, J. Ko, S. M. Swetter, H. M. Blau, and S. Thrun, “Dermatologist-level classification of skin cancer with deep neural networks,” Nature , vol. 542, no. 7639, pp. 115–118, 2017
2017
Closest in time.
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