Evaluation of Melanoma Diagnosis using Imbalanced Learning
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Anselmo Cardoso de Paiva | João Dallyson Sousa de Almeida | Alan Carlos de Moura Lima | Lucas Bezerra Maia | Nigel da Silva Lima | Pedro Thiago Cutrim dos Santos
[1] Heliana Bezerra Soares. Análise e classificação de imagens de lesões da pele por atributos de cor, forma e textura utilizando máquina de vetor de suporte , 2008 .
[2] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[3] Aaron Klein,et al. Efficient and Robust Automated Machine Learning , 2015, NIPS.
[4] Xavier Giro-i-Nieto,et al. Skin lesion classification from dermoscopic images using deep learning techniques , 2017, 2017 13th IASTED International Conference on Biomedical Engineering (BioMed).
[5] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[6] Andreas Christmann,et al. Support vector machines , 2008, Data Mining and Knowledge Discovery Handbook.
[7] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Wei Liu,et al. Class Confidence Weighted kNN Algorithms for Imbalanced Data Sets , 2011, PAKDD.
[9] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[10] Sharath Pankanti,et al. Deep learning ensembles for melanoma recognition in dermoscopy images , 2016, IBM J. Res. Dev..
[11] Dennis L. Wilson,et al. Asymptotic Properties of Nearest Neighbor Rules Using Edited Data , 1972, IEEE Trans. Syst. Man Cybern..
[12] Pedro M. Ferreira,et al. PH2 - A dermoscopic image database for research and benchmarking , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[13] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Luís Picado Santos,et al. Uma Abordagem de Classificação de Imagens Dermatoscópicas Utilizando Aprendizado Profundo com Redes Neurais Convolucionais , 2017 .
[15] D. Hubel,et al. Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.
[16] Vinicius Ponte Machado,et al. Proposta de um Descritor Híbrido para Aprimoramento da Identificação Automática de Melanoma , 2017 .
[17] Noel C. F. Codella,et al. Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC) , 2016, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).
[18] Eduardo Valle,et al. Knowledge transfer for melanoma screening with deep learning , 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).