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3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network

机译：3-D卷积编码器 - 解码器，用于低剂量CT通过从2-D训练网络转移学习

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Hongming Shan; Yi Zhang; Qingsong Yang; Uwe Kruger; Mannudeep K. Kalra; Ling Sun; Wenxiang Cong; Ge Wang;
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年度 2018
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1. Correction for “3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network” [J] . Hongming Shan, Yi Zhang, Qingsong Yang, IEEE Transactions on Medical Imaging . 2018,第12期

机译：对“通过来自2D训练网络的转移学习进行低剂量CT的3D卷积编码器/解码器网络”的更正
2. Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation [J] . Trivizakis Eleftherios, Manikis Georgios C., Nikiforaki Katerina, Biomedical and Health Informatics, IEEE Journal of . 2019,第3期

机译：将2-D卷积神经网络扩展到3-D以促进深度学习癌症分类并应用于MRI肝肿瘤鉴别
3. Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network [J] . Hu Chen, Yi Zhang, Mannudeep K. Kalra, IEEE Transactions on Medical Imaging . 2017,第12期

机译：带残留编码器/解码器卷积神经网络的小剂量CT
4. An Approach of Transferring Pre-trained Deep Convolutional Neural Networks for Aerial Scene Classification [C] . Nilakshi Devi, Bhogeswar Borah International conference on pattern recognition and machine intelligence . 2019

机译：一种将预训练的深度卷积神经网络转移到空中场景分类中的方法
5. Plant Segmentation by Supervised Machine Learning Methods and Phenotypic Trait Extraction of Soybean Plants Using Deep Convolutional Neural Networks with Transfer Learning [D] . Adams, Jason R. 2020

机译：植物分割通过深度卷积神经网络与转移学习的豆豆植物的植物分割和表型特性
6. 3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network [O] . Hongming Shan, Yi Zhang, Qingsong Yang, -1

机译：通过从2D训练有素的网络进行转移学习获得用于低剂量CT的3D卷积编码器/解码器网络
7. Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN) [O] . Chen, Hu, Zhang, Yi, Kalra, Mannudeep K., 2017

机译：具有残余编码器 - 解码器卷积神经网络的低剂量CT （RED-CNN）

3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network

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