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...

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Detalles Bibliográficos
Autores principales: Tappeiner, Elias, Welk, Martin, Schubert, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
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

Internet

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

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