Learning rich features with hybrid loss for brain tumor segmentation
Abstract Background Accurately segment the tumor region of MRI images is important for brain tumor diagnosis and radiotherapy planning. At present, manual segmentation is wildly adopted in clinical and there is a strong need for an automatic and objective system to alleviate the workload of radiolog...
Furkejuvvon:
| Váldodahkkit: | , , , , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
BMC
2021-07-01
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| Ráidu: | BMC Medical Informatics and Decision Making |
| Fáttát: | |
| Liŋkkat: | https://doi.org/10.1186/s12911-021-01431-y |
| Fáddágilkorat: |
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