Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset

BACKGROUND: Lung segmentation constitutes a critical procedure for any clinical-decision supporting system aimed to improve the early diagnosis and treatment of lung diseases. Abnormal lungs mainly include lung parenchyma with commonalities on CT images across subjects, diseases and CT scanners, and...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Mingjie, Qi, Shouliang, Yue, Yong, Teng, Yueyang, Xu, Lisheng, Yao, Yudong, Qian, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6317251/
https://www.ncbi.nlm.nih.gov/pubmed/30602393
http://dx.doi.org/10.1186/s12938-018-0619-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6317251/
https://www.ncbi.nlm.nih.gov/pubmed/30602393
http://dx.doi.org/10.1186/s12938-018-0619-9

Ejemplares similares