Name
Title | ||
|---|---|---|
An Ensemble-Based Densely-Connected Deep Learning System for Assessment of Skeletal Maturity |
Abstract | ||
|---|---|---|
Assessment of skeletal maturity is important for a clinician to make a decision of the most appropriate treatment on various skeletal disorders. This task is very challenging when using machine learning method due to the limited data and large anatomical variations among different subjects. In this article, we propose an ensemble-based deep learning pipeline to automatically assess the distal radi... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TSMC.2020.2997852 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | DocType | Volume |
Bones,Training,Deep learning,Task analysis,Radiography,Neural networks,Image segmentation | Journal | 52 |
Issue | ISSN | Citations |
1 | 2168-2216 | 0 |
PageRank | References | Authors |
0.34 | 14 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shu-Qiang Wang | 1 | 23 | 9.89 |
| Xiangyu Wang | 2 | 70 | 15.17 |
| Yanyan Shen | 3 | 457 | 49.77 |
| Bing He | 4 | 0 | 1.01 |
| Xinyan Zhao | 5 | 12 | 9.40 |
| Prudence Wing-Hang Cheung | 6 | 0 | 0.34 |
| Jason Pui Yin Cheung | 7 | 1 | 1.37 |
| Keith Dip-Kei Luk | 8 | 8 | 1.85 |
| Yong Hu | 9 | 197 | 38.46 |