Automatic contouring system for cervical cancer using convolutional neural networks

PURPOSE: To develop a tool for the automatic contouring of clinical treatment volumes (CTVs) and normal tissues for radiotherapy treatment planning in cervical cancer patients. METHODS: An auto‐contouring tool based on convolutional neural networks (CNN) was developed to delineate three cervical CTV...

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Detalles Bibliográficos
Autores principales: Rhee, Dong Joo, Jhingran, Anuja, Rigaud, Bastien, Netherton, Tucker, Cardenas, Carlos E., Zhang, Lifei, Vedam, Sastry, Kry, Stephen, Brock, Kristy K., Shaw, William, O’Reilly, Frederika, Parkes, Jeannette, Burger, Hester, Fakie, Nazia, Trauernicht, Chris, Simonds, Hannah, Court, Laurence E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756586/
https://www.ncbi.nlm.nih.gov/pubmed/32964477
http://dx.doi.org/10.1002/mp.14467

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756586/
https://www.ncbi.nlm.nih.gov/pubmed/32964477
http://dx.doi.org/10.1002/mp.14467

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