Hybrid U‐Net‐based deep learning model for volume segmentation of lung nodules in CT images

OBJECTIVE: Accurate segmentation of the lung nodule in computed tomography images is a critical component of a computer‐assisted lung cancer detection/diagnosis system. However, lung nodule segmentation is a challenging task due to the heterogeneity of nodules. This study is to develop a hybrid deep...

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Detalles Bibliográficos
Autores principales: Wang, Yifan, Zhou, Chuan, Chan, Heang‐Ping, Hadjiiski, Lubomir M., Chughtai, Aamer, Kazerooni, Ella A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10087884/
https://www.ncbi.nlm.nih.gov/pubmed/35717560
http://dx.doi.org/10.1002/mp.15810

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10087884/
https://www.ncbi.nlm.nih.gov/pubmed/35717560
http://dx.doi.org/10.1002/mp.15810

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