Mitigating the influence of domain shift in skin lesion classification: A benchmark study of unsupervised domain adaptation methods
The potential of deep neural networks in skin lesion classification has already been demonstrated to be on-par if not superior to the dermatologists’ diagnosis in experimental settings. However, the performance of these models usually deteriorates in real-world scenarios, where the test data differs...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-01-01
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| Series: | Informatics in Medicine Unlocked |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914823002769 |