Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and Validation

BACKGROUND: It is hard to distinguish cerebral aneurysms from overlapping vessels in 2D digital subtraction angiography (DSA) images due to these images’ lack of spatial information. OBJECTIVE: The aims of this study were to (1) construct a deep learning diagnostic system to improve the ability to d...

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Detalles Bibliográficos
Autores principales: Liao, JunHua, Liu, LunXin, Duan, HaiHan, Huang, YunZhi, Zhou, LiangXue, Chen, LiangYin, Wang, ChaoHua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968557/
https://www.ncbi.nlm.nih.gov/pubmed/35294371
http://dx.doi.org/10.2196/28880

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968557/
https://www.ncbi.nlm.nih.gov/pubmed/35294371
http://dx.doi.org/10.2196/28880

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