Segmentation of small ground glass opacity pulmonary nodules based on Markov random field energy and Bayesian probability difference

BACKGROUND: Image segmentation is an important part of computer-aided diagnosis (CAD), the segmentation of small ground glass opacity (GGO) pulmonary nodules is beneficial for the early detection of lung cancer. For the segmentation of small GGO pulmonary nodules, an integrated active contour model...

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Detalles Bibliográficos
Autores principales: Zhang, Shaorong, Chen, Xiangmeng, Zhu, Zhibin, Feng, Bao, Chen, Yehang, Long, Wansheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302391/
https://www.ncbi.nlm.nih.gov/pubmed/32552724
http://dx.doi.org/10.1186/s12938-020-00793-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302391/
https://www.ncbi.nlm.nih.gov/pubmed/32552724
http://dx.doi.org/10.1186/s12938-020-00793-0

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