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Comparison of Artificial Intelligence-Based Applications for Mandible Segmentation: From Established Platforms to In-House-Developed Software

Medical image segmentation, whether semi-automatically or manually, is labor-intensive, subjective, and needs specialized personnel. The fully automated segmentation process recently gained importance due to its better design and understanding of CNNs. Considering this, we decided to develop our in-...

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Detalles Bibliográficos
Autores principales: Ileșan, Robert R., Beyer, Michel, Kunz, Christoph, Thieringer, Florian M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10215609/
https://www.ncbi.nlm.nih.gov/pubmed/37237673
http://dx.doi.org/10.3390/bioengineering10050604