Cargando…
Co-optimization Learning Network for MRI Segmentation of Ischemic Penumbra Tissues
Convolutional neural networks (CNNs) have brought hope for the medical image auxiliary diagnosis. However, the shortfall of labeled medical image data is the bottleneck that limits the performance improvement of supervised CNN methods. In addition, annotating a large number of labeled medical image...
Autores principales: | Liu, Liangliang, Zhang, Jing, Wang, Jin-xiang, Xiong, Shufeng, Zhang, Hui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717777/ https://www.ncbi.nlm.nih.gov/pubmed/34975444 http://dx.doi.org/10.3389/fninf.2021.782262 |
Ejemplares similares
-
Editorial: The Ischemic Penumbra: Still the Target for Stroke Therapies?
por: Hillis, Argye E., et al.
Publicado: (2015) -
The Effects of Methylene Blue on Autophagy and Apoptosis in MRI-Defined Normal Tissue, Ischemic Penumbra and Ischemic Core
por: Jiang, Zhao, et al.
Publicado: (2015) -
Collaterals: An Important Determinant of Prolonged Ischemic Penumbra Versus Rapid Cerebral Infarction?
por: Marsh, Elisabeth Breese, et al.
Publicado: (2014) -
Sensory Stimulation-Induced Astrocytic Calcium Signaling in Electrically Silent Ischemic Penumbra
por: Murmu, Reena P., et al.
Publicado: (2019) -
Machine learning-based segmentation of ischemic penumbra by using diffusion tensor metrics in a rat model
por: Kuo, Duen-Pang, et al.
Publicado: (2020)