APIS: a paired CT-MRI dataset for ischemic stroke segmentation - methods and challenges

APIS: a paired CT-MRI dataset for ischemic stroke segmentation - methods and challenges

Abstract Stroke, the second leading cause of mortality globally, predominantly results from ischemic conditions. Immediate attention and diagnosis, related to the characterization of brain lesions, play a crucial role in patient prognosis. Standard stroke protocols include an initial evaluation from...

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Bibliographic Details
Main Authors: Santiago Gómez, Edgar Rangel, Daniel Mantilla, Andrés Ortiz, Paul Camacho, Ezequiel de la Rosa, Joaquin Seia, Jan S. Kirschke, Yihao Li, Mostafa El Habib Daho, Fabio Martínez
Format: Article
Language:English
Published: Nature Portfolio 2024-09-01
Series:Scientific Reports
Subjects:
Ischemic stroke
Computed tomography
Image segmentation
Paired dataset
Deep learning
Online Access:https://doi.org/10.1038/s41598-024-71273-x

Internet

https://doi.org/10.1038/s41598-024-71273-x

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