Cargando…
3D convolutional neural networks applied to CT angiography in the detection of acute ischemic stroke
BACKGROUND: The aim of this study was to investigate the feasibility of ischemic stroke detection from computed tomography angiography source images (CTA-SI) using three-dimensional convolutional neural networks. METHODS: CTA-SI of 60 patients with a suspected acute ischemic stroke of the middle cer...
Autores principales: | Öman, Olli, Mäkelä, Teemu, Salli, Eero, Savolainen, Sauli, Kangasniemi, Marko |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374492/ https://www.ncbi.nlm.nih.gov/pubmed/30758694 http://dx.doi.org/10.1186/s41747-019-0085-6 |
Ejemplares similares
-
Automatic CT Angiography Lesion Segmentation Compared to CT Perfusion in Ischemic Stroke Detection: a Feasibility Study
por: Mäkelä, Teemu, et al.
Publicado: (2022) -
Performance of a 3D convolutional neural network in the detection of hypoperfusion at CT pulmonary angiography in patients with chronic pulmonary embolism: a feasibility study
por: Vainio, Tuomas, et al.
Publicado: (2021) -
Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke
por: Hokkinen, Lasse, et al.
Publicado: (2021) -
Deep learning-aided extraction of outer aortic surface from CT angiography scans of patients with Stanford type B aortic dissection
por: Kesävuori, Risto, et al.
Publicado: (2023) -
Computed tomography angiography-based deep learning method for
treatment selection and infarct volume prediction in anterior cerebral
circulation large vessel occlusion
por: Hokkinen, Lasse, et al.
Publicado: (2021)