Oropharyngeal primary tumor segmentation for radiotherapy planning on magnetic resonance imaging using deep learning

BACKGROUND AND PURPOSE: Segmentation of oropharyngeal squamous cell carcinoma (OPSCC) is needed for radiotherapy planning. We aimed to segment the primary tumor for OPSCC on MRI using convolutional neural networks (CNNs). We investigated the effect of multiple MRI sequences as input and we proposed...

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Detalles Bibliográficos
Autores principales: Rodríguez Outeiral, Roque, Bos, Paula, Al-Mamgani, Abrahim, Jasperse, Bas, Simões, Rita, van der Heide, Uulke A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295848/
https://www.ncbi.nlm.nih.gov/pubmed/34307917
http://dx.doi.org/10.1016/j.phro.2021.06.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295848/
https://www.ncbi.nlm.nih.gov/pubmed/34307917
http://dx.doi.org/10.1016/j.phro.2021.06.005

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