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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning data-driven, highly representative, hierarchical image features from sufficient training data. However, obta...
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| Publicado no: | IEEE Trans Med Imaging |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4890616/ https://ncbi.nlm.nih.gov/pubmed/26886976 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2016.2528162 |
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