Automatic detection of contouring errors using convolutional neural networks

PURPOSE: To develop a head and neck normal structures autocontouring tool that could be used to automatically detect the errors in autocontours from a clinically validated autocontouring tool. METHODS: An autocontouring tool based on convolutional neural networks (CNN) was developed for 16 normal st...

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Detalles Bibliográficos
Autores principales: Rhee, Dong Joo, Cardenas, Carlos E., Elhalawani, Hesham, McCarroll, Rachel, Zhang, Lifei, Yang, Jinzhong, Garden, Adam S., Peterson, Christine B., Beadle, Beth M., Court, Laurence E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842055/
https://www.ncbi.nlm.nih.gov/pubmed/31505046
http://dx.doi.org/10.1002/mp.13814

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842055/
https://www.ncbi.nlm.nih.gov/pubmed/31505046
http://dx.doi.org/10.1002/mp.13814

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