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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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Tallennettuna:
Bibliografiset tiedot
Julkaisussa:J Clin Med
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI 2019
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6572384/
https://ncbi.nlm.nih.gov/pubmed/31096607
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm8050683
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