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Evolutionary Pruning of Transfer Learned Deep Convolutional Neural Network for Breast Cancer Diagnosis in Digital Breast Tomosynthesis
Deep learning models are highly parameterized, resulting in difficulty in inference and transfer learning for image recognition tasks. In this work, we propose a layered pathway evolution method to compress a deep convolutional neural network (DCNN) for classification of masses in digital breast tom...
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| Publicado no: | Phys Med Biol |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5967610/ https://ncbi.nlm.nih.gov/pubmed/29616660 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/aabb5b |
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