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

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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Bibliographic Details
Main Authors: Heung Cheol Kim, Jong Kook Rhim, Jun Hyong Ahn, Jeong Jin Park, Jong Un Moon, Eun Pyo Hong, Mi Ran Kim, Seung Gyu Kim, Seong Hwan Lee, Jae Hoon Jeong, Sung Won Choi, Jin Pyeong Jeon
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Journal of Clinical Medicine
Subjects:
intracranial aneurysm
convolutional neural network
subarachnoid hemorrhage
Online Access:https://www.mdpi.com/2077-0383/8/5/683

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https://www.mdpi.com/2077-0383/8/5/683

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