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Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence
A novel approach is presented in this study for the classification of lower limb disorders, with a specific emphasis on the knee, hip, and ankle. The research employs gait analysis and the extraction of PoseNet features from video data in order to effectively identify and categorize these disorders....
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530167/ https://www.ncbi.nlm.nih.gov/pubmed/37761248 http://dx.doi.org/10.3390/diagnostics13182881 |