A Semi-Supervised Multi-Region Segmentation Framework of Bladder Wall and Tumor with Wall-Enhanced Self-Supervised Pre-Training
Bladder cancer is a prevalent and highly recurrent malignancy within the urinary tract. The accurate segmentation of the bladder wall and tumor in magnetic resonance imaging (MRI) is a crucial step in distinguishing between non-muscle-invasive and muscle-invasive types of bladder cancer, which plays...
| Główni autorzy: | , , , , , |
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| Format: | Artykuł |
| Język: | English |
| Wydane: |
MDPI AG
2024-12-01
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| Seria: | Bioengineering |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2306-5354/11/12/1225 |