Cargando…
Experimental validation of computer-vision methods for the successful detection of endodontic treatment obturation and progression from noisy radiographs
PURPOSE: (1) To evaluate the effects of denoising and data balancing on deep learning to detect endodontic treatment outcomes from radiographs. (2) To develop and train a deep-learning model and classifier to predict obturation quality from radiomics. METHODS: The study conformed to the STARD 2015 a...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Nature Singapore
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504118/ https://www.ncbi.nlm.nih.gov/pubmed/37097541 http://dx.doi.org/10.1007/s11282-023-00685-8 |