Name
Title | ||
|---|---|---|
Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images |
Abstract | ||
|---|---|---|
The gap between the computational and semantic features is the one of major factors that bottlenecks the computer-aided diagnosis (CAD) performance from clinical usage. To bridge this gap, we exploit three multi-task learning (MTL) schemes to leverage heterogeneous computational features derived from deep learning models of stacked denoising autoencoder (SDAE) and convolutional neural network (CNN... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TMI.2016.2629462 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Semantics,Computed tomography,Medical diagnostic imaging,Computational modeling,Machine learning,Lungs | Computer vision,Multi-task learning,Pattern recognition,Computer science,Convolutional neural network,Elastic net regularization,Lasso (statistics),Artificial intelligence,Semantic feature,Deep learning,Semantics,Feature learning | Journal |
Volume | Issue | ISSN |
36 | 3 | 0278-0062 |
Citations | PageRank | References |
5 | 0.40 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sihong Chen | 1 | 5 | 0.40 |
| Jing Qin | 2 | 1109 | 95.43 |
| Xing Ji | 3 | 20 | 3.30 |
| Bai Ying Lei | 4 | 119 | 24.99 |
| Tianfu Wang | 5 | 382 | 55.46 |
| Dong Ni | 6 | 367 | 37.37 |
| Jie-Zhi Cheng | 7 | 102 | 13.00 |