Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images

This paper aims to develop an automatic method to segment pulmonary parenchyma in chest CT images and analyze texture features from the segmented pulmonary parenchyma regions to assist radiologists in COVID-19 diagnosis. A new segmentation method, which integrates a three-dimensional (3D) V-Net with...

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Detalles Bibliográficos
Autores principales: Zhao, Chen, Xu, Yan, He, Zhuo, Tang, Jinshan, Zhang, Yijun, Han, Jungang, Shi, Yuxin, Zhou, Weihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169223/
https://www.ncbi.nlm.nih.gov/pubmed/34092815
http://dx.doi.org/10.1016/j.patcog.2021.108071

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169223/
https://www.ncbi.nlm.nih.gov/pubmed/34092815
http://dx.doi.org/10.1016/j.patcog.2021.108071

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