Deep-Learning-Based Segmentation of Extraocular Muscles from Magnetic Resonance Images

In this study, we investigated the performance of four deep learning frameworks of U-Net, U-NeXt, DeepLabV3+, and ConResNet in multi-class pixel-based segmentation of the extraocular muscles (EOMs) from coronal MRI. Performances of the four models were evaluated and compared with the standard F-meas...

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Detalles Bibliográficos
Autores principales: Qureshi, Amad, Lim, Seongjin, Suh, Soh Youn, Mutawak, Bassam, Chitnis, Parag V., Demer, Joseph L., Wei, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295225/
https://www.ncbi.nlm.nih.gov/pubmed/37370630
http://dx.doi.org/10.3390/bioengineering10060699

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295225/
https://www.ncbi.nlm.nih.gov/pubmed/37370630
http://dx.doi.org/10.3390/bioengineering10060699

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