Post hoc calibration of medical segmentation models
Abstract Background and objective Deep neural networks have become state-of-the-art in medical image segmentation. However, the calibration of these models is an often overlooked aspect of the model’s performance, even though calibrated outputs communicate an intuitive measure of uncertainty toward...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-02-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-06587-0 |
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