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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Bibliografiska uppgifter
I publikationen:Med Phys
Huvudupphovsmän: 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.
Materialtyp: Artigo
Språk:Inglês
Publicerad: John Wiley and Sons Inc. 2020
Ämnen:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Länkar: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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