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ABSTRACT

Automatic Segmentation Methods Based on Machine Learning for Intracoronary Optical Coherence Tomography Image

Caining Zhang1, Xiaoya Guo2, Dalin Tang1,3,*, David Molony4, Chun Yang3, Habib Samady4, Jie Zheng5, Gary S. Mintz6, Akiko Maehara6, Mitsuaki Matsumura6, Don P. Giddens4,7

1 School of Biological Science & Medical Engineering, Southeast University, Nanjing, 210096, China.
2 School of Mathematics, Southeast University, Nanjing, 210096, China.
3 Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.
4 Department of Medicine, Emory University School of Medicine, Atlanta, GA, 30307, USA.
5 Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, 63110, USA.
6 The Cardiovascular Research Foundation, Columbia University, New York, NY, 10022, USA.
7 The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
* Corresponding Author: Dalin Tang. Email: dtang@wpi.edu.

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