Automatic Acute Ischemic Stroke Lesion Segmentation Using Semi-supervised Learning

Automatic Acute Ischemic Stroke Lesion Segmentation Using Semi-supervised Learning

Ischemic stroke has been 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, ma...

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Bibliographic Details
Main Authors: Bin Zhao, Shuxue Ding, Hong Wu, Guohua Liu, Chen Cao, Song Jin, Zhiyang Liu
Format: Article
Language:English
Published: Atlantis Press 2021-02-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Semi-supervised learning
Acute ischemic stroke lesion segmentation
Convolutional neural network (CNN)
K-Means
Region growing
Online Access:https://www.atlantis-press.com/article/125952597/view

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