Automatic analysis of myocardial T1 values based on deep learning : semantic segmentation and multilayer analysis
| Autor: | YU-NIAN OU, 歐育年 |
|---|---|
| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 Cardiovascular magnetic resonance imaging (CMR) is a medical imaging technology for non-invasive assessment of the function and structure of the cardiovascular system. Native T1 values of the myocardium are recently considered potential biomarkers of myocardial fibrosis. For this reason, we would like to build an automatically segmentation and analysis system for CMR. In this study, we used two different datasets and deep learning networks for the segmentation task. In the training progress, we used data augmentation and transfer learning method to help model got more highly adaptation. Finally, we got a stable model for segmentation and combined with a multilayer analysis concept to provide distinctive features to analysis. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
| Externí odkaz: |
|