The 2014 liver ultrasound tracking benchmark.

De Luca, V; Benz, T; Kondo, S; König, L; Lübke, D; Rothlübbers, S; Somphone, O; Allaire, S; Lediju Bell, M A; Chung, D Y F; Cifor, A; Grozea, C; Günther, M; Jenne, J; Kipshagen, T; Kowarschik, M; Navab, N; Rühaak, J; Schwaab, J; Tanner, C

De Luca, V; Benz, T; Kondo, S; König, L; Lübke, D; Rothlübbers, S; Somphone, O; Allaire, S; Lediju Bell, M A; Chung, D Y F; Cifor, A; Grozea, C; Günther, M; Jenne, J; Kipshagen, T; Kowarschik, M; Navab, N; Rühaak, J; Schwaab, J; Tanner, C.

Affiliation

De Luca V; Computer Vision Lab, ETH Zurich, 8092 Zurich, Switzerland.

Phys Med Biol ; 60(14): 5571-99, 2015 Jul 21.

Article in En | MEDLINE | ID: mdl-26134417

Subject(s)

Benchmarking; Databases, Factual/standards; Imaging, Three-Dimensional/standards; Liver Neoplasms/diagnostic imaging; Liver/diagnostic imaging; Magnetic Resonance Imaging/standards; Ultrasonography/standards; Algorithms; Case-Control Studies; Congresses as Topic; Humans; Image Processing, Computer-Assisted; Liver Neoplasms/pathology; Respiration

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Imaging / Databases, Factual / Ultrasonography / Benchmarking / Imaging, Three-Dimensional / Liver / Liver Neoplasms Type of study: Diagnostic_studies / Observational_studies Limits: Humans Language: En Journal: Phys Med Biol Year: 2015 Document type: Article

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