Загрузка...
Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue from Non-Contrast CT
Epicardial adipose tissue (EAT) is a visceral fat deposit related to coronary artery disease. Fully automated quantification of EAT volume in clinical routine could be a timesaving and reliable tool for cardiovascular risk assessment. We propose a new fully automated deep learning framework for EAT...
Сохранить в:
| Опубликовано в: : | IEEE Trans Med Imaging |
|---|---|
| Главные авторы: | , , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2018
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6076348/ https://ncbi.nlm.nih.gov/pubmed/29994362 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2804799 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|