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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| 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 |