An uncertainty-aware transformer for MRI cardiac semantic segmentation via mean teachers
Deep learning methods have shown promising performance in medical image semantic segmentation. The cost of high-quality annotations, however, is still high and hard to access as clinicians are pressed for time. In this paper, we propose to utilize the power of Vision Transformer (ViT) with a semi-su...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2022
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