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Intelligent cholinergic white matter pathways algorithm based on U-net reflects cognitive impairment in patients with silent cerebrovascular disease.

Beini FeiYu ChengYing LiuGuangzheng ZhangAnyan GeJunyi LuoShan WuHe WangJing DingXin Wang
Published in: Stroke and vascular neurology (2024)
We have established the first intelligent algorithm to evaluate the cholinergic white matter pathway with good accuracy compared with the gold standard. It helps more easily assess the cognitive function in patients with SCD.
Keyphrases
  • white matter
  • cognitive impairment
  • machine learning
  • multiple sclerosis
  • deep learning
  • neural network
  • silver nanoparticles