RECOD Titans at ISIC Challenge 2017

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Menegola, Afonso; Tavares, Julia; Fornaciali, Michel; Li, Lin Tzy; Avila, Sandra; Valle, Eduardo;
  • Subject: Computer Science - Computer Vision and Pattern Recognition

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). Although our team has a long experience with melanoma classification, the ISIC Challenge 2017 wa... View more
  • References (13)
    13 references, page 1 of 2

    [1] M. Fornaciali, S. Avila, M. Carvalho, and E. Valle, “Statistical learning approach for robust melanoma screening,” in SIBGRAPI, 2014, pp. 319-326.

    [2] M. Carvalho, “Transfer schemes for deep learning in image classification,” Master's thesis, University of Campinas, 2015.

    [3] M. Fornaciali, M. Carvalho, F. V. Bittencourt, S. Avila, and E. Valle, “Towards automated melanoma screening: Proper computer vision & reliable results,” arXiv:1604.04024, 2016.

    [4] 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.

    [5] O. Ronneberger, P. Fischer, and T. Brox, “U-net: Convolutional networks for biomedical image segmentation,” arXiv:1505.04597, 2015.

    [6] K. Simonyan and A. Zisserman, “Very deep convolutional networks for large-scale image recognition,” arXiv:1409.1556, 2014.

    [7] 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.

    [8] 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.

    [9] 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.

    [10] 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.

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