Applying machine learning and image feature extraction techniques to the problem of cerebral aneurysm rupture
Author:
Funder
Fondo Nacional de Desarrollo Científico y Tecnológico
Publisher
Pensoft Publishers
Subject
General Medicine
Link
http://riojournal.com/lib/ajax_srv/article_elements_srv.php?action=download_pdf&item_id=11731
Reference18 articles.
1. Prediction of Cerebral Aneurysm Rupture Using Hemodynamic, Morphologic and Clinical Features: A Data Mining Approach
2. Pattern Recognition and Machine Learning
3. Big Data Deep Learning: Challenges and Perspectives
4. Non-parametric geodesic active regions: Method and evaluation for cerebral aneurysms segmentation in 3DRA and CTA
5. Computational Optimization and Statistical Methods for Big Data Analytics: Applications in Neuroimaging
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