Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth

BACKGROUND: It is time-consuming for oncologists to delineate volumes for radiotherapy treatment in computer tomography (CT) images. Automatic delineation based on image processing exists, but with varied accuracy and moderate time savings. Using convolutional neural network (CNN), delineations of v...

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Detalles Bibliográficos
Autores principales: Sartor, Hanna, Minarik, David, Enqvist, Olof, Ulén, Johannes, Wittrup, Anders, Bjurberg, Maria, Trägårdh, Elin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519211/
https://www.ncbi.nlm.nih.gov/pubmed/33005756
http://dx.doi.org/10.1016/j.ctro.2020.09.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519211/
https://www.ncbi.nlm.nih.gov/pubmed/33005756
http://dx.doi.org/10.1016/j.ctro.2020.09.004

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