Strategies for tackling the class imbalance problem of oropharyngeal primary tumor segmentation on magnetic resonance imaging

BACKGROUND AND PURPOSE: Contouring oropharyngeal primary tumors in radiotherapy is currently done manually which is time-consuming. Autocontouring techniques based on deep learning methods are a desirable alternative, but these methods can render suboptimal results when the structure to segment is c...

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Detalles Bibliográficos
Autores principales: Rodríguez Outeiral, Roque, Bos, Paula, van der Hulst, Hedda J., Al-Mamgani, Abrahim, Jasperse, Bas, Simões, Rita, van der Heide, Uulke A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405079/
https://www.ncbi.nlm.nih.gov/pubmed/36035088
http://dx.doi.org/10.1016/j.phro.2022.08.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405079/
https://www.ncbi.nlm.nih.gov/pubmed/36035088
http://dx.doi.org/10.1016/j.phro.2022.08.005

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