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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Опубликовано в: :Med Phys
Главные авторы: 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.
Формат: Artigo
Язык:Inglês
Опубликовано: John Wiley and Sons Inc. 2020
Предметы:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7756586/
https://ncbi.nlm.nih.gov/pubmed/32964477
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.14467
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