ROAM: Random layer mixup for semi‐supervised learning in medical images
Abstract Medical image segmentation is one of the major challenges addressed by machine learning methods. However, these methods profoundly depend on a large amount of annotated data, which is expensive and time‐consuming. Semi‐supervised learning (SSL) approaches this by leveraging an abundant amou...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-08-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12511 |