Fully automated clinical target volume segmentation for glioblastoma radiotherapy using a deep convolutional neural network

PURPOSE: Target volume delineation is a crucial step prior to radiotherapy planning in radiotherapy for glioblastoma. This step is performed manually, which is time-consuming and prone to intra- and inter-rater variabilities. Therefore, the purpose of this study is to evaluate a deep convolutional n...

Descripción completa

Detalles Bibliográficos
Autores principales: Sadeghi, Sogand, Farzin, Mostafa, Gholami, Somayeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907163/
https://www.ncbi.nlm.nih.gov/pubmed/36819221
http://dx.doi.org/10.5114/pjr.2023.124434

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907163/
https://www.ncbi.nlm.nih.gov/pubmed/36819221
http://dx.doi.org/10.5114/pjr.2023.124434

Ejemplares similares