Cargando…
Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images
BACKGROUND AND PURPOSE: MRI images timely and accurately reflect ischemic injuries to the brain tissues and, therefore, can support clinical decision-making of acute ischemic stroke (AIS). To maximize the information provided by the MRI images, we leverage deep learning models to segment, classify,...
Autores principales: | Wei, Yi-Chia, Huang, Wen-Yi, Jian, Chih-Yu, Hsu, Chih-Chin Heather, Hsu, Chih-Chung, Lin, Ching-Po, Cheng, Chi-Tung, Chen, Yao-Liang, Wei, Hung-Yu, Chen, Kuan-Fu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123273/ https://www.ncbi.nlm.nih.gov/pubmed/35597030 http://dx.doi.org/10.1016/j.nicl.2022.103044 |
Ejemplares similares
-
Manipulation Planning for Object Re-Orientation Based on Semantic Segmentation Keypoint Detection
por: Wong, Ching-Chang, et al.
Publicado: (2021) -
Global-and-Local Context Network for Semantic Segmentation of Street View Images
por: Lin, Chih-Yang, et al.
Publicado: (2020) -
Integrated diffusion image operator (iDIO): A pipeline for automated configuration and processing of diffusion MRI data
por: Hsu, Chih‐Chin Heather, et al.
Publicado: (2023) -
MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?
por: Egger, Christine, et al.
Publicado: (2016) -
Improving segmentation accuracy of CT kidney cancer images using adaptive active contour model
por: Hsu, Wei-Yen, et al.
Publicado: (2020)