Automatic Segmentation of Periodontal Tissue Ultrasound Images with Artificial Intelligence: A Novel Method for Improving Dataset Quality

This research aimed to evaluate Mask R-CNN and U-Net convolutional neural network models for pixel-level classification in order to perform the automatic segmentation of bi-dimensional images of US dental arches, identifying anatomical elements required for periodontal diagnosis. A secondary aim was...

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Detalles Bibliográficos
Autores principales: Chifor, Radu, Hotoleanu, Mircea, Marita, Tiberiu, Arsenescu, Tudor, Socaciu, Mihai Adrian, Badea, Iulia Clara, Chifor, Ioana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572264/
https://www.ncbi.nlm.nih.gov/pubmed/36236200
http://dx.doi.org/10.3390/s22197101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572264/
https://www.ncbi.nlm.nih.gov/pubmed/36236200
http://dx.doi.org/10.3390/s22197101

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