Name
Title | ||
|---|---|---|
DeepCQ: Deep multi-task conditional quantification network for estimation of left ventricle parameters. |
Abstract | ||
|---|---|---|
•Multi-task learning framework for LV parameters estimation and myocardium segmentation.•Using LV structural information for alleviating the gradient disappearance issue.•Uncertainty to weigh loss for preforming multiple tasks automatically. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cmpb.2019.105288 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Left ventricle,Full quantification,Conditional multi-task regression learning,BiLSTM | Computer vision,Computer science,Segmentation,Encoder,Artificial intelligence,Ventricle,Cardiac function curve | Journal |
Volume | ISSN | Citations |
184 | 0169-2607 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruifeng Chen | 1 | 0 | 0.34 |
| Chenchu Xu | 2 | 5 | 2.10 |
| Zhangfu Dong | 3 | 0 | 0.34 |
| Yueguo Liu | 4 | 0 | 1.35 |
| Xiuquan Du | 5 | 18 | 4.73 |