A Fair Comparison in Deep Learning-Based QSM Reconstruction
In medical imaging, deep learning has greatly enhanced image quality, however, issues on the generalization of network performance for datasets of untrained characteristics (i.e., out-of-distribution data) have risen. In this paper, we demonstrate that this issue of generalization creates an unfores...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IEEE
2025-01-01
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| Edice: | IEEE Access |
| Témata: | |
| On-line přístup: | https://ieeexplore.ieee.org/document/11201262/ |
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