Automatic segmentation of pulmonary lobes on low-dose computed tomography using deep learning

BACKGROUND: To develop and validate a fully automated deep learning-based segmentation algorithm to segment pulmonary lobe on low-dose computed tomography (LDCT) images. METHODS: This study presents an automatic segmentation of pulmonary lobes using a fully convolutional neural network named dense V...

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Detalles Bibliográficos
Autores principales: Zhang, Zewei, Ren, Jialiang, Tao, Xiuli, Tang, Wei, Zhao, Shijun, Zhou, Lina, Huang, Yao, Wang, Jianwei, Wu, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944332/
https://www.ncbi.nlm.nih.gov/pubmed/33708918
http://dx.doi.org/10.21037/atm-20-5060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944332/
https://www.ncbi.nlm.nih.gov/pubmed/33708918
http://dx.doi.org/10.21037/atm-20-5060

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