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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
acute ischemic stroke
anterior large vessel occlusion detection
non-contrast computed tomography
convolutional neural network
Online Access:https://www.mdpi.com/2076-3417/10/14/4861

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https://www.mdpi.com/2076-3417/10/14/4861

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