Automatic differentiation of ruptured and unruptured intracranial aneurysms on computed tomography angiography based on deep learning and radiomics

OBJECTIVES: Rupture of intracranial aneurysm is very dangerous, often leading to death and disability. In this study, deep learning and radiomics techniques were used to automatically detect and differentiate ruptured and unruptured intracranial aneurysms. MATERIALS AND METHODS: 363 ruptured aneurys...

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Detalles Bibliográficos
Autores principales: Feng, Junbang, Zeng, Rong, Geng, Yayuan, Chen, Qiang, Zheng, Qingqing, Yu, Fei, Deng, Tie, Lv, Lei, Li, Chang, Xue, Bo, Li, Chuanming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160318/
https://www.ncbi.nlm.nih.gov/pubmed/37142819
http://dx.doi.org/10.1186/s13244-023-01423-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160318/
https://www.ncbi.nlm.nih.gov/pubmed/37142819
http://dx.doi.org/10.1186/s13244-023-01423-8

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