Cargando…
Investigation of a Novel Deep Learning-Based Computed Tomography Perfusion Mapping Framework for Functional Lung Avoidance Radiotherapy
Functional lung avoidance radiation therapy aims to minimize dose delivery to the normal lung tissue while favoring dose deposition in the defective lung tissue based on the regional function information. However, the clinical acquisition of pulmonary functional images is resource-demanding, inconve...
Autores principales: | Ren, Ge, Lam, Sai-kit, Zhang, Jiang, Xiao, Haonan, Cheung, Andy Lai-yin, Ho, Wai-yin, Qin, Jing, Cai, Jing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024641/ https://www.ncbi.nlm.nih.gov/pubmed/33842356 http://dx.doi.org/10.3389/fonc.2021.644703 |
Ejemplares similares
-
Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy
por: Ren, Ge, et al.
Publicado: (2022) -
A Transfer Learning Framework for Deep Learning-Based CT-to-Perfusion Mapping on Lung Cancer Patients
por: Ren, Ge, et al.
Publicado: (2022) -
Evaluation of Multisource Adaptive MRI Fusion for Gross Tumor Volume Delineation of Hepatocellular Carcinoma
por: Cheung, Andy Lai-Yin, et al.
Publicado: (2022) -
A Multi-Center Study of CT-Based Neck Nodal Radiomics for Predicting an Adaptive Radiotherapy Trigger of Ill-Fitted Thermoplastic Masks in Patients with Nasopharyngeal Carcinoma
por: Lam, Sai-Kit, et al.
Publicado: (2022) -
Research into Autonomous Vehicles Following and Obstacle Avoidance Based on Deep Reinforcement Learning Method under Map Constraints
por: Li, Zheng, et al.
Publicado: (2023)