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Tackling the class imbalance problem of deep learning-based head and neck organ segmentation
PURPOSE: The segmentation of organs at risk (OAR) is a required precondition for the cancer treatment with image- guided radiation therapy. The automation of the segmentation task is therefore of high clinical relevance. Deep learning (DL)-based medical image segmentation is currently the most succe...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515025/ https://www.ncbi.nlm.nih.gov/pubmed/35578086 http://dx.doi.org/10.1007/s11548-022-02649-5 |