DiffuSeg: domain-driven diffusion for medical image segmentation
In recent years, the deployment of supervised machine learning techniques for segmentation tasks has significantly increased. Nonetheless, the annotation process for extensive datasets remains costly, labor-intensive, and error-prone. While acquiring sufficiently large datasets to train deep learnin...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
IEEE
2025
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