Learning directional relative positions between mediastinal lymph node stations and organs.
Identifieur interne : 003763 ( Main/Exploration ); précédent : 003762; suivant : 003764Learning directional relative positions between mediastinal lymph node stations and organs.
Auteurs : David Sarrut [France] ; Simon Rit [France] ; Line Claude [France] ; Romulo Pinho [France] ; Graham Pitson [Australie] ; Gauthier Bouilhol [France] ; Rod Lynch [Australie]Source :
- Medical physics [ 2473-4209 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- diagnostic imaging : Lung Neoplasms, Lymph Nodes.
- methods : Radiography, Thoracic, Tomography, X-Ray Computed.
- Algorithms, Artificial Intelligence, Breath Holding, Databases, Factual, Feasibility Studies, Humans, Internet, Thorax.
Abstract
To automatically learn directional relative positions (DRP) between mediastinal lymph node stations and anatomical organs. Those spatial relationships are used to semiautomatically segment the stations in thoracic CT images.
DOI: 10.1118/1.4873677
PubMed: 24877816
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">To automatically learn directional relative positions (DRP) between mediastinal lymph node stations and anatomical organs. Those spatial relationships are used to semiautomatically segment the stations in thoracic CT images.</div>
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