Deep-Learning-Based Automatic Segmentation of Parotid Gland on Computed Tomography Images

This study aims to develop an algorithm for the automatic segmentation of the parotid gland on CT images of the head and neck using U-Net architecture and to evaluate the model’s performance. In this retrospective study, a total of 30 anonymized CT volumes of the head and neck were sliced into 931 a...

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Detalles Bibliográficos
Autores principales: Önder, Merve, Evli, Cengiz, Türk, Ezgi, Kazan, Orhan, Bayrakdar, İbrahim Şevki, Çelik, Özer, Costa, Andre Luiz Ferreira, Gomes, João Pedro Perez, Ogawa, Celso Massahiro, Jagtap, Rohan, Orhan, Kaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955422/
https://www.ncbi.nlm.nih.gov/pubmed/36832069
http://dx.doi.org/10.3390/diagnostics13040581

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955422/
https://www.ncbi.nlm.nih.gov/pubmed/36832069
http://dx.doi.org/10.3390/diagnostics13040581

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