Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Tokyo, Japan
Department of Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Tokyo, Japan
Department of Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Tokyo, Japan
Department of Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Tokyo, Japan
Copyright © 2016 Oranit Boonsiri, Kiyotada Washiya, Kota Aoki, Hiroshi Nagahashi 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
Boonsiri, O. , Washiya, K. , Aoki, K. and Nagahashi, H. (2016) 3D Gray Level Co-Occurrence Matrix Based Classification of Favor Benign and Borderline Types in Follicular Neoplasm Images.
Journal of Biosciences and Medicines,
4, 51-56. doi:
10.4236/jbm.2016.43009.