Mask Region-Based Convolutional Neural Network segmentation of the humerus and scapula from proton density-weighted axial shoulder magnetic resonance images

OBJECTIVES: This study aimed to evaluate the effectiveness of Mask Region-Based Convolutional Neural Network (R-CNN) in humerus and scapula segmentation. PATIENTS AND METHODS: The study included 665 axial proton density (PD)-weighted magnetic resonance images of 665 consecutive shoulder instability...

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Detalles Bibliográficos
Autor principal: Sezer, Aysun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bayçınar Medical Publishing 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546865/
https://www.ncbi.nlm.nih.gov/pubmed/37750262
http://dx.doi.org/10.52312/jdrs.2023.1291

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546865/
https://www.ncbi.nlm.nih.gov/pubmed/37750262
http://dx.doi.org/10.52312/jdrs.2023.1291

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