Progressive Weighted Self-Training Ensemble for Multi-Type Skin Lesion Semantic Segmentation
In this study, we propose the Progressive Weighted Self-training Ensemble (PWStE) method that reinforces efficiency of labeled data for multi-type skin lesion semantic segmentation. The generation of multi-type skin lesion labeled data is extremely expensive as it should only be performed by dermato...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9953982/ |