Name
Title | ||
|---|---|---|
Decoupling multi-task causality for improved skin lesion segmentation and classification |
Abstract | ||
|---|---|---|
•Decouple the causality among skin lesion classification, detection and segmentation from the Pareto efficiency view, solving the common trade-off dilemma in multiple tasks.•New paradigm boosts the diagnosis with the investigated favorable fusing manner.•Effective model compression scheme overcomes the redundant complexity, achieving the raised performance under fewer parameters. |
Year | DOI | Venue |
|---|---|---|
2023 | 10.1016/j.patcog.2022.108995 | Pattern Recognition |
Keywords | DocType | Volume |
Skin lesion analysis,Multi-task decoupled,Deep learning,Task causality | Journal | 133 |
ISSN | Citations | PageRank |
0031-3203 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Song | 1 | 0 | 0.34 |
| Wang H | 2 | 71 | 29.35 |
| Z. Jane Wang | 3 | 406 | 55.43 |