Cargando…
Supervised and unsupervised learning to classify scoliosis and healthy subjects based on non-invasive rasterstereography analysis
The aim of our study was to classify scoliosis compared to to healthy patients using non-invasive surface acquisition via Video-raster-stereography, without prior knowledge of radiographic data. Data acquisitions were made using Rasterstereography; unsupervised learning was adopted for clustering an...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699618/ https://www.ncbi.nlm.nih.gov/pubmed/34941924 http://dx.doi.org/10.1371/journal.pone.0261511 |