Machine Learning Application for Rupture Risk Assessment in Small-Sized Intracranial Aneurysm

The assessment of rupture probability is crucial to identifying at risk intracranial aneurysms (IA) in patients harboring multiple aneurysms. We aimed to develop a computer-assisted detection system for small-sized aneurysm ruptures using a convolutional neural network (CNN) based on images of three...

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Detalles Bibliográficos
Autores principales: Kim, Heung Cheol, Rhim, Jong Kook, Ahn, Jun Hyong, Park, Jeong Jin, Moon, Jong Un, Hong, Eun Pyo, Kim, Mi Ran, Kim, Seung Gyu, Lee, Seong Hwan, Jeong, Jae Hoon, Choi, Sung Won, Jeon, Jin Pyeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572384/
https://www.ncbi.nlm.nih.gov/pubmed/31096607
http://dx.doi.org/10.3390/jcm8050683

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572384/
https://www.ncbi.nlm.nih.gov/pubmed/31096607
http://dx.doi.org/10.3390/jcm8050683

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