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Deep Convolutional Neural Network–Based Diagnosis of Anterior Cruciate Ligament Tears: Performance Comparison of Homogenous Versus Heterogeneous Knee MRI Cohorts With Different Pulse Sequence Protocols and 1.5-T and 3-T Magnetic Field Strengths

OBJECTIVES: The aim of this study was to clinically validate a Deep Convolutional Neural Network (DCNN) for the detection of surgically proven anterior cruciate ligament (ACL) tears in a large patient cohort and to analyze the effect of magnetic resonance examinations from different institutions, va...

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Detalles Bibliográficos
Autores principales:	Germann, Christoph, Marbach, Giuseppe, Civardi, Francesco, Fucentese, Sandro F., Fritz, Jan, Sutter, Reto, Pfirrmann, Christian W.A., Fritz, Benjamin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Lippincott Williams & Wilkins 2020
Materias:	Original Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343178/ https://www.ncbi.nlm.nih.gov/pubmed/32168039 http://dx.doi.org/10.1097/RLI.0000000000000664

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