Automatic contouring QA method using a deep learning–based autocontouring system

PURPOSE: To determine the most accurate similarity metric when using an independent system to verify automatically generated contours. METHODS: A reference autocontouring system (primary system to create clinical contours) and a verification autocontouring system (secondary system to test the primar...

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Detalles Bibliográficos
Autores principales: Rhee, Dong Joo, Akinfenwa, Chidinma P. Anakwenze, Rigaud, Bastien, Jhingran, Anuja, Cardenas, Carlos E., Zhang, Lifei, Prajapati, Surendra, Kry, Stephen F., Brock, Kristy K., Beadle, Beth M., 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. 2022
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359039/
https://www.ncbi.nlm.nih.gov/pubmed/35580067
http://dx.doi.org/10.1002/acm2.13647

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359039/
https://www.ncbi.nlm.nih.gov/pubmed/35580067
http://dx.doi.org/10.1002/acm2.13647

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