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Automatic Segmentation of Pulmonary Fissures in Computed Tomography Images Using 3D Surface Features

Pulmonary interlobar fissures are important anatomic structures in human lungs and are useful in locating and classifying lung abnormalities. Automatic segmentation of fissures is a difficult task because of their low contrast and large variability. We developed a fully automatic training-free appro...

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Detalles Bibliográficos
Main Authors: Yu, Mali, Liu, Hong, Gong, Jianping, Jin, Renchao, Han, Ping, Song, Enmin
Formato: Artigo
Idioma:Inglês
Publicado: Springer US 2013
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC3903965/
https://ncbi.nlm.nih.gov/pubmed/23982119
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-013-9632-5
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