Cargando…
Validating a Semi-Automated Technique for Segmenting Femoral Articular Cartilage on Ultrasound Images
OBJECTIVE: To validate a semi-automated technique to segment ultrasound-assessed femoral cartilage without compromising segmentation accuracy to a traditional manual segmentation technique in participants with an anterior cruciate ligament injury (ACL). DESIGN: We recruited 27 participants with a pr...
Autores principales: | Harkey, Matthew S., Michel, Nicholas, Kuenze, Christopher, Fajardo, Ryan, Salzler, Matt, Driban, Jeffrey B., Hacihaliloglu, Ilker |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251823/ https://www.ncbi.nlm.nih.gov/pubmed/35438030 http://dx.doi.org/10.1177/19476035221093069 |
Ejemplares similares
-
Femoral Cartilage Ultrasound Echo Intensity Associates with Arthroscopic Cartilage Damage
por: Harkey, Matthew S., et al.
Publicado: (2021) -
Knee-Cartilage Segmentation and Thickness Measurement from 2D Ultrasound
por: Desai, Prajna, et al.
Publicado: (2019) -
Longitudinal Changes in Ultrasound-Assessed Femoral Cartilage
Thickness in Individuals from 4 to 6 Months Following Anterior Cruciate Ligament
Reconstruction
por: Lisee, Caroline, et al.
Publicado: (2021) -
Automatic femoral articular cartilage segmentation using deep learning in three-dimensional ultrasound images of the knee
por: du Toit, Carla, et al.
Publicado: (2022) -
Computerized Morphometric Analysis of Human Femoral Articular Cartilage
por: Goyal, Neeru, et al.
Publicado: (2012)