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

Internet

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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