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Assembling Deep Neural Networks for Medical Compound ...
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由 Y Yu 著作2017被引用 15 次 — Compound figure detection on figures and associated captions is the first step to making medical figures from biomedical literature available for further ...
Assembling Deep Neural Networks for Medical Compound ...
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This work trains multiple convolutional neural networks, long short-term memory networks, and gated recurrent unit networks on top of pre-trained word ...
Assembling Deep Neural Networks for Medical Compound ...
ResearchGate
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2017年4月22日 — Compound figure detection on figures and associated captions is the first step to making medical figures from biomedical literature ...
Assembling Deep Neural Networks for Medical Compound ...
OUCI
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Compound figure detection on figures and associated captions is the first step to making medical figures from biomedical literature available for further ...
Assembling Deep Neural Networks for Medical Compound ...
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Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.
Assembling deep neural networks for medical compound figure ...
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Assembling deep neural networks for medical compound figure detection. 论文类型：期刊论文. 发表时间：2017-04-21. 发表刊物：Information (Switzerland). 收录刊物 ...
Yuhai Yu - Google 学术搜索
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Assembling deep neural networks for medical compound figure detection. Y Yu, H Lin, J Meng, X Wei, Z Zhao. Information 8 (2), 48, 2017. 15, 2017. Self- ...
Biomedical compound figure detection using deep learning ...
IET Digital Library
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A deep learning model is proposed for compound figure detection (CFD) in the biomedical article domain. First, pre-trained convolutional neural networks (CNNs) ...
Biomedical compound figure detection using deep learning and ...
IET Digital Library
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A deep learning model is proposed for compound figure detection (CFD) in the biomedical article domain. First, pre-trained convolutional neural networks (CNNs) ...
A comprehensive review of deep neural networks for ...
ScienceDirect.com
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由 PK Mall 著作2023被引用 127 次 — This comprehensive review delivers an overview of recent advances in medical imaging using deep neural networks.