A Multi-Task Deep Learning Method for Detection of Meniscal Tears in MRI Data from the Osteoarthritis Initiative Database

We present a novel and computationally efficient method for the detection of meniscal tears in Magnetic Resonance Imaging (MRI) data. Our method is based on a Convolutional Neural Network (CNN) that operates on complete 3D MRI scans. Our approach detects the presence of meniscal tears in three anato...

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Detalles Bibliográficos
Autores principales: Tack, Alexander, Shestakov, Alexey, Lüdke, David, Zachow, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675251/
https://www.ncbi.nlm.nih.gov/pubmed/34926416
http://dx.doi.org/10.3389/fbioe.2021.747217

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675251/
https://www.ncbi.nlm.nih.gov/pubmed/34926416
http://dx.doi.org/10.3389/fbioe.2021.747217

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