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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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Библиографические подробности
Опубликовано в: :IEEE Trans Med Imaging
Формат: Artigo
Язык:Inglês
Опубликовано: IEEE 2016
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Online-ссылка: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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