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Prediction of intracranial aneurysm rupture from computed tomography angiography using an automated artificial intelligence framework
June Ho Choi, Jannik Sobisch, Minwoo Kim, Jung Cheol Park, Jae Sung Ahn, Byung Duk Kwun, Žiga Špiclin, Žiga Bizjak, Wonhyoung Park
Izvirni znanstveni članek
Oznake: intrakranialna anevrizma;možganska kap;ruptura;globoko učenje;strojno učenje;intracranial aneurysm;subarachnoid hemorrhage;rupture;machine learning;deep learning;
Intracranial aneurysms (IAs) are common vascular pathologies with a risk of fatal rupture. Human assessment of rupture risk is error prone, and treatment decision for unruptured IAs often rely on expert opinion and institutional policy. Therefore, we aimed to develop a computer-assisted aneurysm rup ...
Leto: 2025 Vir: Fakulteta za elektrotehniko (UL FE)
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