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Evaluation of Semi-automatic Segmentation Methods for Persistent Ground Glass Nodules on Thin-Section CT Scans
OBJECTIVES: This work was a comparative study that aimed to find a proper method for accurately segmenting persistent ground glass nodules (GGN) in thin-section computed tomography (CT) images after detecting them. METHODS: To do this, we first applied five types of semi-automatic segmentation metho...
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| Publicado no: | Healthc Inform Res |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Korean Society of Medical Informatics
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5116543/ https://ncbi.nlm.nih.gov/pubmed/27895963 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4258/hir.2016.22.4.305 |
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