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Machine Learning Model Comparison for Automatic Segmentation of Intracoronary Optical Coherence Tomography and Plaque Cap Thickness Quantification

Caining Zhang1, Xiaopeng Guo2, Xiaoya Guo3, David Molony4, Huaguang Li2, Habib Samady4, Don P. Giddens4,5, Lambros Athanasiou6, Dalin Tang1*,7, Rencan Nie2,*, Jinde Cao8

1 School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
2 School of Information Science and Engineering, Yunnan University, Kunming, 650091, China
3 School of Science, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
4 Department of Medicine, Emory University School of Medicine, Atlanta, GA, 30307, USA
5 The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
6 Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
7 Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA 01609, USA
8 School of Mathematics, Southeast University, Nanjing, 210096, China

* Corresponding Authors: Dalin Tang, Southeast University. Email: email; Rencan Nie. Email: email


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