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Knowledge-Augmented Deep Learning for Segmenting and Detecting Cerebral Aneurysms With CT Angiography: A Multicenter Study

Jianyong Wei, X Z Song, Xiaoer Wei, Zhiwen Yang, Lisong Dai, Mengfei Wang, Zheng Sun, Yidong Jin, Chune Ma, Chunhong Hu, Xueqian Xie, Zhenghan Yang, Yonggao Zhang, Fajin Lv, Jie Lu, Yueqi Zhu, Yuehua Li

2024Radiology22 citationsDOI

Abstract

A knowledge-augmented deep learning model could accurately segment and detect cerebral aneurysms at CT angiography with no evidence of a significant difference in diagnostic performance compared with clinical radiology reports.

Topics & Concepts

MedicineRadiologyDigital subtraction angiographyAneurysmAngiographyReceiver operating characteristicData setSegmentationComputed tomography angiographyCerebral angiographyNuclear medicineArtificial intelligenceInternal medicineComputer scienceIntracranial Aneurysms: Treatment and ComplicationsCerebrovascular and Carotid Artery DiseasesTraumatic Brain Injury and Neurovascular Disturbances
Knowledge-Augmented Deep Learning for Segmenting and Detecting Cerebral Aneurysms With CT Angiography: A Multicenter Study | Litcius