Segmentation of measurable images from standard plane of Graf hip ultrasonograms based on Mask Region-Based Convolutional Neural Network

OBJECTIVES: This study proposed a Mask Region-Based Convolutional Neural Network (R-CNN)-based automatic segmentation to accurately detect the measurable standard plane of Graf hip ultrasonography images via segmentation of the labrum, lower limb of ilium, and the iliac wing. PATIENTS AND METHODS: T...

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Detalles Bibliográficos
Autores principales: Sezer, Aysun, Sezer, Hasan Basri
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/PMC10546856/
https://www.ncbi.nlm.nih.gov/pubmed/37750263
http://dx.doi.org/10.52312/jdrs.2023.1308

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546856/
https://www.ncbi.nlm.nih.gov/pubmed/37750263
http://dx.doi.org/10.52312/jdrs.2023.1308

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