An Automatic Random Walker Algorithm for Segmentation of Ground Glass Opacity Pulmonary Nodules

Automatic and accurate segmentation of ground glass opacity (GGO) nodules still remains challenging due to inhomogeneous interiors, irregular shapes, and blurred boundaries from different patients. Despite successful applications in the image processing domains, the random walk has some limitations...

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Detalles Bibliográficos
Autores principales: Li, Xiangxia, Li, Bin, Yin, Hua, Xu, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537033/
https://www.ncbi.nlm.nih.gov/pubmed/36212245
http://dx.doi.org/10.1155/2022/6727957

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537033/
https://www.ncbi.nlm.nih.gov/pubmed/36212245
http://dx.doi.org/10.1155/2022/6727957

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