Integrated Deep Learning Model for the Detection, Segmentation, and Morphologic Analysis of Intracranial Aneurysms Using CT Angiography

2024/11/06 by Yi Yang, Chang Zhao, Xin Nie +7 · 1 voice · 1 citation
Medicine · #Cerebrovascular and Carotid Artery Diseases #Intracranial Aneurysms: Treatment and Complications #Vascular Malformations Diagnosis and Treatment

paper · doi:10.1148/ryai.240017

openalex publication_date 2024/11/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31

Abstract

An integrated deep learning model was developed and validated for the detection, segmentation, and morphologic measurement of intracranial aneurysms on head CT angiography images.

Citations

• nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Cited by

• End-to-End Autonomous Quantification of Brain Aneurysm and Parent Artery Morphology at CT Angiography

Discussions

• Integrated Deep Learning Model for the Detection, Segmentation, and Morphologic Analysis of Intracranial Aneurysms Using CT Angiography https://doi.org/10.1148/ryai.240017 @rsnasky.bsky.social #SPIEMe [bsky, 3 points, 0 comments]

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