Results 231 to 240 of about 41,541,189 (252)

Automated confidence estimation in deep learning auto-segmentation for brain organs at risk on MRI for radiotherapy. [PDF]

J Appl Clin Med Phys
Alzahrani NM, Henry AM, Al-Qaisieh BM, Murray LJ, Nix MG.   +4 more
europepmc   +1 more source

C2FAU-Net: A Deep Learning Approach with Multi-scale Strategy for Automated Delineation of Organs-at-risk in Cervical Cancer High-dose Rate Brachytherapy. [PDF]

J Med Phys
Zhao M, He W, Dai J, Xie Y, Chen Z, Xiao N, Chen D, Liu S, Liang X, Liu C.   +9 more
europepmc   +1 more source

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Clinical evaluation of deep learning and atlas-based auto-segmentation for critical organs at risk in radiation therapy

Journal of Medical Radiation Sciences, 2023
Justin Westhuyzen, Eddie Gibbons
exaly  

A national study on the inter-observer variability in the delineation of organs at risk in the brain

Acta Oncológica, 2021
Christian Rønn Hansen, Lene Haldbo-Classen, Slavka Lukacova   +2 more
exaly  

Multi-task learning for the segmentation of organs at risk with label dependence

Medical Image Analysis, 2020
Tao He, Jixiang Guo, Junjie Hu
exaly  

Re-Irradiation for Head and Neck Cancer: Cumulative Dose to Organs at Risk and Late Side Effects

Cancers, 2021
Signe Friesland, Eva Onjukka, Anna Embring   +2 more
exaly  

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Frontiers in Oncology, 2023
Xue Sha
exaly  

4D CT analysis of organs at risk (OARs) in stereotactic radiotherapy

Radiotherapy and Oncology, 2020
Salvatore Cappabianca, Valerio Nardone, Cesare Guida   +2 more
exaly  

Cascaded SE-ResUnet for segmentation of thoracic organs at risk

Neurocomputing, 2021
Danny Z. Chen, Haochao Ying, Zheng Cao
exaly  

Evaluating the accumulated dose distribution of organs at risk in combined radiotherapy for cervical carcinoma based on deformable image registration

Brachytherapy, 2022
Bin Qiu, Jun Jie Wang, Xile Zhang
exaly