Dilated Balanced cross entropy loss for medical image segmentation
Abstract A novel method for tackling the problem of imbalanced data in medical image segmentation is proposed in this work. In Balanced Cross Entropy (BCE) loss, which is a type of weighted CE loss, the weight assigned to each class is the inverse of the class frequency. These balancing weights are...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BMC
2026-02-01
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| Series: | BMC Medical Imaging |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1186/s12880-026-02245-y |
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