Dataset on acute stroke risk stratification from CT angiographic radiomics

Dataset on acute stroke risk stratification from CT angiographic radiomics

With advances in high-throughput image processing technologies and increasing availability of medical mega-data, the growing field of radiomics opened the door for quantitative analysis of medical images for prediction of clinically relevant information. One clinical area in which radiomics have pro...

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Bibliographic Details
Main Authors: Emily W. Avery, Jonas Behland, Adrian Mak, Stefan P. Haider, Tal Zeevi, Pina C. Sanelli, Christopher G. Filippi, Ajay Malhotra, Charles C. Matouk, Christoph J. Griessenauer, Ramin Zand, Philipp Hendrix, Vida Abedi, Guido J. Falcone, Nils Petersen, Lauren H. Sansing, Kevin N. Sheth, Seyedmehdi Payabvash
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:Data in Brief
Subjects:
Machine-learning
Radiomics
Large vessel occlusion
Stroke
Telestroke
CTA
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340922007491

Internet

http://www.sciencedirect.com/science/article/pii/S2352340922007491

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