Cargando…
Automated Cerebral Infarct Detection on Computed Tomography Images Based on Deep Learning
The limited accuracy of cerebral infarct detection on CT images caused by the low contrast of CT hinders the desirable application of CT as a first-line diagnostic modality for screening of cerebral infarct. This research was aimed at utilizing convolutional neural network to enhance the accuracy of...
Autores principales: | Peng, Syu-Jyun, Chen, Yu-Wei, Yang, Jing-Yu, Wang, Kuo-Wei, Tsai, Jang-Zern |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8773678/ https://www.ncbi.nlm.nih.gov/pubmed/35052801 http://dx.doi.org/10.3390/biomedicines10010122 |
Ejemplares similares
-
Automated Segmentation and Quantification of White Matter Hyperintensities in Acute Ischemic Stroke Patients with Cerebral Infarction
por: Tsai, Jang-Zern, et al.
Publicado: (2014) -
Connectome-based predictive modeling for functional recovery of acute ischemic stroke
por: Peng, Syu-Jyun, et al.
Publicado: (2023) -
Automatic Detection and Quantification of Acute Cerebral Infarct by Fuzzy Clustering and Histographic Characterization on Diffusion Weighted MR Imaging and Apparent Diffusion Coefficient Map
por: Tsai, Jang-Zern, et al.
Publicado: (2014) -
Evaluation of subcortical grey matter abnormalities in patients with MRI-negative cortical epilepsy determined through structural and tensor magnetic resonance imaging
por: Peng, Syu-Jyun, et al.
Publicado: (2014) -
Deep Learning-Based Computed Tomography Perfusion Imaging to Evaluate the Effectiveness and Safety of Thrombolytic Therapy for Cerebral Infarct with Unknown Time of Onset
por: Hu, Minlei, et al.
Publicado: (2022)