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Detecting intracranial aneurysm rupture from 3D surfaces using a novel GraphNet approach [article]

Z. Ma, L. Song, X. Feng, G. Yang, W.Zhu, J. Liu, Y. Zhang, X. Yang and Y. Yin
2019 arXiv   pre-print
In this paper, we propose a novel graph based neural network named GraphNet to detect IA rupture from 3D surface data.  ...  Intracranial aneurysm (IA) is a life-threatening blood spot in human's brain if it ruptures and causes cerebral hemorrhage. It is challenging to detect whether an IA has ruptured from medical images.  ...  Here, we propose a graph based neural network called GraphNet to detect IA rupture and segment it based on 3D surface data.  ... 
arXiv:1910.08375v1 fatcat:s6f2twoobfcepecpralcboh67m