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Automatic acute ischemic stroke lesion segmentation using semi-supervised learning
[article]
2020
arXiv
pre-print
Ischemic stroke is a common disease in the elderly population, which can cause long-term disability and even death. However, the time window for treatment of ischemic stroke in its acute stage is very short. To fast localize and quantitively evaluate the acute ischemic stroke (AIS) lesions, many deep-learning-based lesion segmentation methods have been proposed in the literature, where a deep convolutional neural network (CNN) was trained on hundreds of fully labeled subjects with accurate
arXiv:1908.03735v3
fatcat:oxpt2lqgtbe4tfgifj3b3ulcwa