Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images
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- 2 October 2015
- book chapter
- Published by Springer Nature
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- Biopsies of Nevi in Children and Adolescents in the United States, 2009 Through 2013JAMA Dermatology, 2015
- Automated Medical Image Modality Recognition by Fusion of Visual and Text InformationLecture Notes in Computer Science, 2014
- Automatic Detection of Blue-White Veil by Discrete Colour Matching in Dermoscopy ImagesLecture Notes in Computer Science, 2013
- Sparse Modeling for Image and Vision ProcessingFoundations and Trends® in Computer Graphics and Vision, 2012
- Automatic detection of blue-white veil and related structures in dermoscopy imagesComputerized Medical Imaging and Graphics, 2008
- Dermatoscopia: o método de análise de padrõesAnais Brasileiros de Dermatologia, 2006
- First Prospective Study of the Recognition Process of Melanoma in Dermatological PracticeArchives of Dermatology, 2005
- Dermoscopy of pigmented skin lesionsJournal of the American Academy of Dermatology, 2005
- Automated melanoma recognitionIEEE Transactions on Medical Imaging, 2001
- A colour image processing method for melanoma detectionLecture Notes in Computer Science, 1998