Fully automated segmentation of clinical target volume in cervical cancer from magnetic resonance imaging with convolutional neural network

PURPOSE: Contouring clinical target volume (CTV) from medical images is an essential step for radiotherapy (RT) planning. Magnetic resonance imaging (MRI) is used as a standard imaging modality for CTV segmentation in cervical cancer due to its superior soft‐tissue contrast. However, the delineation...

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Detalles Bibliográficos
Autores principales: Zabihollahy, Fatemeh, Viswanathan, Akila N., Schmidt, Ehud J., Lee, Junghoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512359/
https://www.ncbi.nlm.nih.gov/pubmed/35894782
http://dx.doi.org/10.1002/acm2.13725

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512359/
https://www.ncbi.nlm.nih.gov/pubmed/35894782
http://dx.doi.org/10.1002/acm2.13725

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