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Abstract #4791

Python graphical user interface with deep learning-based segmentation for cardiac LV analysis

Yoon-Chul Kim1, Kwanghee Choi2, and Yeon Hyeon Choe1

1Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea, 2Department of Computer Science and Engineering, Sogang University, Seoul, Republic of Korea

The purpose of this study is to develop a deep learning algorithm for myocardial segmentation and apply it to a Python graphical user interface for cardiac MR image processing and analysis. We used a U-net architecture to simultaneously segment endocardial and epicardial borders. For training data, we used publicly available data and our internal data, both of which are from cardiac cine imaging. When the trained model was used in our Python GUI, myocardial segmentation exhibited moderate accuracy in cine data as well as in perfusion data.

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