Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/4443
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Santos, Beatriz Sousa | - |
dc.contributor.author | Ferreira, Carlos | - |
dc.contributor.author | Silva, José Silvestre | - |
dc.contributor.author | Silva, Augusto | - |
dc.contributor.author | Teixeira, Luísa | - |
dc.date.accessioned | 2008-09-01T11:07:12Z | - |
dc.date.available | 2008-09-01T11:07:12Z | - |
dc.date.issued | 2004 | en_US |
dc.identifier.citation | Academic Radiology. 11:8 (2004) 868-878 | en_US |
dc.identifier.uri | https://hdl.handle.net/10316/4443 | - |
dc.description.abstract | Pulmonary contour extraction from thoracic x-ray computed tomography images is a mandatory preprocessing step in many automated or semiautomated analysis tasks. This study was conducted to quantitatively assess the performance of a method for pulmonary contour extraction and region identification.Materials and methods | en_US |
dc.description.uri | http://www.sciencedirect.com/science/article/B75BK-4CYP37B-8/1/cd6c2e81a2efebfbc072409358fc238a | en_US |
dc.format.mimetype | aplication/PDF | en |
dc.language.iso | eng | eng |
dc.rights | openAccess | eng |
dc.subject | Quantitative evaluation | en_US |
dc.subject | computed tomography (CT) | en_US |
dc.subject | pulmonary segmentation | en_US |
dc.subject | interobserver and intraobserver variability | en_US |
dc.title | Quantitative evaluation of a pulmonary contour segmentation algorithm in x-ray computed tomography images1 | en_US |
dc.type | article | en_US |
dc.identifier.doi | 10.1016/j.acra.2004.05.004 | - |
item.fulltext | Com Texto completo | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
Appears in Collections: | FCTUC Física - Artigos em Revistas Internacionais |
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File | Description | Size | Format | |
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filed1dcc6322f824ef8ab24299116477f95.pdf | 285.41 kB | Adobe PDF | View/Open |
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