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Classification of skin lesions using transfer learning and augmentation with Alex-net
Skin cancer is one of most deadly diseases in humans. According to the high similarity between melanoma and nevus lesions, physicians take much more time to investigate these lesions. The automated classification of skin lesions will save effort, time and human life. The purpose of this paper is to...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6529006/ https://www.ncbi.nlm.nih.gov/pubmed/31112591 http://dx.doi.org/10.1371/journal.pone.0217293 |