Affiliation:
1. Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Eonyang-eup, Ulsan, Ulju-gun, Republic of Korea
2. Department of Nuclear Engineering, Ulsan National Institute of Science and Technology (UNIST), Eonyang-eup, Ulsan, Ulju-gun, Republic of Korea
Funder
Korea Health Technology Research and Development Project through the Korea Health Industry Development Institute
Ministry of Health & Welfare, Republic of Korea
Institute of Information & Communications Technology Planning & Evaluation
the Ministry of Science and ICT (MSIT), Republic of Korea
Artificial Intelligence Graduate School Program
National Research Foundation of Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Reference39 articles.
1. U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications
2. A survey on Image Data Augmentation for Deep Learning
3. Diagnostic accuracy of MRI in predicting breast tumor size: Comparative analysis of MRI vs histopathological assessed breast tumor size;jethava;Conn Med,2015
4. Adam: A method for stochastic optimization;kingma;arXiv 1412 6980,2014
5. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Intervent,2015
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