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Multi-task transfer learning deep convolutional neural network: Application to computer-aided diagnosis of breast cancer on mammograms
Transfer learning in deep convolutional neural networks (DCNNs) is an important step in its application to medical imaging tasks. We propose a multi-task transfer learning DCNN with the aims of translating the ‘knowledge’ learned from non-medical images to medical diagnostic tasks through supervised...
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| Publié dans: | Phys Med Biol |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5859950/ https://ncbi.nlm.nih.gov/pubmed/29035873 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/aa93d4 |
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