Segmentation of pulmonary nodules using adaptive local region energy with probability density function-based similarity distance and multi-features clustering

BACKGROUND: Pulmonary nodules in computerized tomography (CT) images are potential manifestations of lung cancer. Segmentation of potential nodule objects is the first necessary and crucial step in computer-aided detection system of pulmonary nodules. The segmentation of various types of nodules, es...

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Detalles Bibliográficos
Autores principales: Li, Bin, Chen, QingLin, Peng, Guangming, Guo, Yuanxing, Chen, Kan, Tian, LianFang, Ou, Shanxing, Wang, Lifei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858846/
https://www.ncbi.nlm.nih.gov/pubmed/27150553
http://dx.doi.org/10.1186/s12938-016-0164-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858846/
https://www.ncbi.nlm.nih.gov/pubmed/27150553
http://dx.doi.org/10.1186/s12938-016-0164-3

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