Automated Identification of Skull Fractures With Deep Learning: A Comparison Between Object Detection and Segmentation Approach

Objective: Skull fractures caused by head trauma can lead to life-threatening complications. Hence, timely and accurate identification of fractures is of great importance. Therefore, this study aims to develop a deep learning system for automated identification of skull fractures from cranial comput...

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Detalles Bibliográficos
Autores principales: Shan, Wei, Guo, Jianwei, Mao, Xuewei, Zhang, Yulei, Huang, Yikun, Wang, Shuai, Li, Zixiao, Meng, Xia, Zhang, Pingye, Wu, Zhenzhou, Wang, Qun, Liu, Yaou, He, Kunlun, Wang, Yongjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585755/
https://www.ncbi.nlm.nih.gov/pubmed/34777193
http://dx.doi.org/10.3389/fneur.2021.687931

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585755/
https://www.ncbi.nlm.nih.gov/pubmed/34777193
http://dx.doi.org/10.3389/fneur.2021.687931

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