Automatic differentiation of ruptured and unruptured intracranial aneurysms on computed tomography angiography based on deep learning and radiomics

Abstract Objectives Rupture of intracranial aneurysm is very dangerous, often leading to death and disability. In this study, deep learning and radiomics techniques were used to automatically detect and differentiate ruptured and unruptured intracranial aneurysms. Materials and methods 363 ruptured...

詳細記述

書誌詳細

主要な著者:	Junbang Feng, Rong Zeng, Yayuan Geng, Qiang Chen, Qingqing Zheng, Fei Yu, Tie Deng, Lei Lv, Chang Li, Bo Xue, Chuanming Li
フォーマット:	Artigo
言語:	Inglês
出版事項:	SpringerOpen 2023-05-01
シリーズ:	Insights into Imaging
主題:	Computed tomography angiography Intracranial aneurysm Rupture Deep learning Radiomics
オンライン･アクセス:	https://doi.org/10.1186/s13244-023-01423-8
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!