A 2D–3D hybrid convolutional neural network for lung lobe auto-segmentation on standard slice thickness computed tomography of patients receiving radiotherapy

BACKGROUND: Accurate segmentation of lung lobe on routine computed tomography (CT) images of locally advanced stage lung cancer patients undergoing radiotherapy can help radiation oncologists to implement lobar-level treatment planning, dose assessment and efficacy prediction. We aim to establish a...

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Detalles Bibliográficos
Autores principales: Gu, Hengle, Gan, Wutian, Zhang, Chenchen, Feng, Aihui, Wang, Hao, Huang, Ying, Chen, Hua, Shao, Yan, Duan, Yanhua, Xu, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461922/
https://www.ncbi.nlm.nih.gov/pubmed/34556141
http://dx.doi.org/10.1186/s12938-021-00932-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461922/
https://www.ncbi.nlm.nih.gov/pubmed/34556141
http://dx.doi.org/10.1186/s12938-021-00932-1

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