Automatic segmentation of inconstant fractured fragments for tibia/fibula from CT images using deep learning

Orthopaedic surgeons need to correctly identify bone fragments using 2D/3D CT images before trauma surgery. Advances in deep learning technology provide good insights into trauma surgery over manual diagnosis. This study demonstrates the application of the DeepLab v3+ -based deep learning model for...

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Detalles Bibliográficos
Autores principales: Kim, Hyeonjoo, Jeon, Young Dae, Park, Ki Bong, Cha, Hayeong, Kim, Moo-Sub, You, Juyeon, Lee, Se-Won, Shin, Seung-Han, Chung, Yang-Guk, Kang, Sung Bin, Jang, Won Seuk, Yoon, Do-Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665312/
https://www.ncbi.nlm.nih.gov/pubmed/37993627
http://dx.doi.org/10.1038/s41598-023-47706-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665312/
https://www.ncbi.nlm.nih.gov/pubmed/37993627
http://dx.doi.org/10.1038/s41598-023-47706-4

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