Clinical evaluation on automatic segmentation results of convolutional neural networks in rectal cancer radiotherapy

PURPOSE: Image segmentation can be time-consuming and lacks consistency between different oncologists, which is essential in conformal radiotherapy techniques. We aimed to evaluate automatic delineation results generated by convolutional neural networks (CNNs) from geometry and dosimetry perspective...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jing, Song, Ying, Wu, Yongchang, Liang, Lan, Li, Guangjun, Bai, Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508953/
https://www.ncbi.nlm.nih.gov/pubmed/37731629
http://dx.doi.org/10.3389/fonc.2023.1158315

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508953/
https://www.ncbi.nlm.nih.gov/pubmed/37731629
http://dx.doi.org/10.3389/fonc.2023.1158315

Ejemplares similares