Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning-Reference-Cited by-同舟云学术

Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning

Author:

Zhao Xinzhuo¹²,Qi Shouliang¹³,Zhang Baihua¹,Ma He¹,Qian Wei¹⁴,Yao Yudong¹⁵,Sun Jianjun²

Affiliation:

1. Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China

2. Border Biomedical Research Center, University of Texas at El Paso, El Paso, USA

3. Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang, China

4. College of Engineering, University of Texas at El Paso, El Paso, USA

5. Electrical and Computer Engineering, Stevens Institute of Technology, USA

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiology Nuclear Medicine and imaging,Instrumentation,Radiation

Reference38 articles.

1. Cancer statistics;Siegel;CA Cancer J Clin,2016

2. Deep learning;LeCun;Nature,2015

4. E., ImageNet Classification with Deep Convolutional Neural Networks;Krizhevsky;Neural Information Processing Systems,2012

5. Simonyan K. and Zisserman A. , Very Deep Convolutional Networks for Large-Scale Image Recognition, ArXiv Preprint ArXiv:1409.1556 (2014).

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