Using the Concept of Generative Adversarial Network (GAN) to Strengthen the Classification Performance for X-ray Images of Small Samples

Author:

Jen Chih-Hung1ORCID,Fan Shu-Kai S.2ORCID,Lu Kun-Mu3ORCID,Huang Ching-Wen4ORCID,Hsiao Ju-Ling1ORCID,Zheng Yu-Zhi1ORCID,Cai Yi-Jun1ORCID

Affiliation:

1. Department of Information Management, Lunghwa University of Science and Technology, Taiwan

2. Department of Industrial Engineering and Management, National Taipei University of Technology, Taiwan

3. Department of Radiology, Shin Kong Wu Ho-Su Memorial Hospital, Taiwan

4. Department of Radiology, Shin-Kong Wu Ho-Su Memorial Hospital, Taiwan and Institute of Traditional Medicine, National Yang Ming Chiao Tung University, Taiwan

Publisher

ACM

Reference15 articles.

1. Generative Model-Driven Sampling Strategy for the High-Efficiency Measurement of Complex Surfaces on Coordinate Measuring Machines

2. Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease

3. Hybrid Feature Selection for Wafer Acceptance Test Parameters in Semiconductor Manufacturing

4. Detecting Ripe Canarium Ovatum (Pili) Using Adaboost Classifier and Color Analysis

5. Li , F. , Zhang , L. , Chen , B. , Gao , D. , and Cheng , Y . ( 2018 ). “ A Light Gradient Boosting Machine for Remaining Useful Life Estimation of Aircraft Engines ”. 21st International Conference on Intelligent Transportation Systems (ITSC) , 18308685, Nov. 2018, doi: 10.1109/ ITSC.2018.8569801. Li, F., Zhang, L., Chen, B., Gao, D., and Cheng, Y. (2018). “A Light Gradient Boosting Machine for Remaining Useful Life Estimation of Aircraft Engines”. 21st International Conference on Intelligent Transportation Systems (ITSC), 18308685, Nov. 2018, doi: 10.1109/ ITSC.2018.8569801.

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