Combining unsupervised and supervised learning for predicting the final stroke lesion

Author:

Pinto Adriano,Pereira Sérgio,Meier Raphael,Wiest Roland,Alves VictorORCID,Reyes Mauricio,Silva Carlos A.

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference53 articles.

1. Badrinarayanan, V., Kendall, A., Cipolla, R., 2015. SegNet: a deep convolutional encoder-decoder architecture for image segmentation. arXiv:1511.00561.

2. Towards automatic MRI volumetry for treatment selection in acute ischemic stroke patients;Bauer,2014

3. Collateral status on baseline computed tomographic angiography and intra-arterial treatment effect in patients with proximal anterior circulation stroke;Berkhemer;Stroke,2016

4. Acute stroke imaging Part I: fundamentals;Butcher;Can. J. Neurol. Sci.,2010

5. Acute stroke imaging Part II: the ischemic penumbra;Butcher;Can. J. Neurol. Sci.,2010

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