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BioMed Research International
Volume 2017, Article ID 3098293, 13 pages
https://doi.org/10.1155/2017/3098293
Research Article

Differentiation of the Follicular Neoplasm on the Gray-Scale US by Image Selection Subsampling along with the Marginal Outline Using Convolutional Neural Network

1Department of Biomedical Engineering, College of Medicine, Gachon University, Gyeonggi-do, Republic of Korea
2Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University, College of Medicine, Seoul, Republic of Korea
3Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

Correspondence should be addressed to Kwang Gi Kim; rk.ca.nohcag@gkmik and Jin Young Kwak; ca.shuy@nijcod

Received 9 August 2017; Revised 23 October 2017; Accepted 14 November 2017; Published 19 December 2017

Academic Editor: Yongjin Zhou

Copyright © 2017 Jeong-Kweon Seo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Jeong-Kweon Seo, Young Jae Kim, Kwang Gi Kim, Ilah Shin, Jung Hee Shin, and Jin Young Kwak, “Differentiation of the Follicular Neoplasm on the Gray-Scale US by Image Selection Subsampling along with the Marginal Outline Using Convolutional Neural Network,” BioMed Research International, vol. 2017, Article ID 3098293, 13 pages, 2017. https://doi.org/10.1155/2017/3098293.