Name
Title | ||
|---|---|---|
A tree-structure-guided graph convolutional network with contrastive learning for the assessment of parkinsonian hand movements |
Abstract | ||
|---|---|---|
•A tree-structure-guided graph convolutional network with contrastive learning scheme is developed for automated and objective video assessment on Parkinsonian hand movements.•A novel tri-directional skeleton tree scheme is developed for effective fine-grained extraction of spatial features.•A tree max-pooling module is designed to improve the learning ability of the model to salient fine-grained motion features.•A group-sparsity-induced momentum contrast is developed to capture more discriminative spatial-temporal dynamics and realize stable feature learning. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.media.2022.102560 | Medical Image Analysis |
Keywords | DocType | Volume |
Parkinson's disease, Hand movements,MDS-UPDRS,Tree structure,Graph convolutional network,Contrastive learning | Journal | 81 |
ISSN | Citations | PageRank |
1361-8415 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Guo | 1 | 0 | 1.01 |
| Hao Li | 2 | 0 | 0.34 |
| Chencheng Zhang | 3 | 0 | 0.34 |
| Xiaohua Qian | 4 | 4 | 3.78 |