Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology. | Med Image Anal;17(2): 147-64, 2013 Feb. | MEDLINE

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Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology.

Dufour, A; Tankyevych, O; Naegel, B; Talbot, H; Ronse, C; Baruthio, J; Dokládal, P; Passat, N.

Affiliation

Dufour A; Université de Strasbourg, LSIIT, UMR 7005, CNRS, France. alice.dufour@unistra.fr

Med Image Anal ; 17(2): 147-64, 2013 Feb.

Article in En | MEDLINE | ID: mdl-23168165

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Pattern Recognition, Automated / Angiography / Image Interpretation, Computer-Assisted / Imaging, Three-Dimensional Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2013 Document type: Article Affiliation country: Francia

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Pattern Recognition, Automated / Angiography / Image Interpretation, Computer-Assisted / Imaging, Three-Dimensional Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2013 Document type: Article Affiliation country: Francia