A Convolutional Neural Network for Anterior Intra-Arterial Thrombus Detection and Segmentation on Non-Contrast Computed Tomography of Patients with Acute Ischemic Stroke

The aim of this study was to develop a convolutional neural network (CNN) that automatically detects and segments intra-arterial thrombi on baseline non-contrast computed tomography (NCCT) scans. We retrospectively collected computed tomography (CT)-scans of patients with an anterior circulation lar...

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Detalhes bibliográficos

Principais autores:	Manon L. Tolhuisen, Elena Ponomareva, Anne M. M. Boers, Ivo G. H. Jansen, Miou S. Koopman, Renan Sales Barros, Olvert A. Berkhemer, Wim H. van Zwam, Aad van der Lugt, Charles B. L. M. Majoie, Henk A. Marquering
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-07-01
Colecção:	Applied Sciences
Assuntos:	acute ischemic stroke anterior large vessel occlusion detection non-contrast computed tomography convolutional neural network
Acesso em linha:	https://www.mdpi.com/2076-3417/10/14/4861
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