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Digital mammographic tumor classification using transfer learning from deep convolutional neural networks
Convolutional neural networks (CNNs) show potential for computer-aided diagnosis (CADx) by learning features directly from the image data instead of using analytically extracted features. However, CNNs are difficult to train from scratch for medical images due to small sample sizes and variations in...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4992049/ https://ncbi.nlm.nih.gov/pubmed/27610399 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.3.3.034501 |
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