Super-trustscore: reliable failure detection for automated skin lesion diagnosis
The successful deployment of deep neural networks in safetycritical settings, such as medical image analysis, is contingent on their ability to provide reliable uncertainty estimates. In this paper, we propose a new confidence scoring function called Super-TrustScore that improves upon the existing...
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| Materiálatiipa: | Conference item |
| Giella: | English |
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IEEE
2024
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