Publications by authors named "Lingxiang Zhou"

Cerebellar transcranial direct current stimulation (tDCS) has been shown to influence movement functions, but little is known about the specific effects of stimulation polarity on balance control. This study investigated the impact of bilateral cerebellar tDCS on balance functions as a function of stimulation polarity. In this randomized, controlled trial, thirty-nine healthy young adults were assigned to one of three groups: right anodal/left cathodal cerebellar stimulation (AC group), right cathodal/left anodal cerebellar stimulation (CA group), and a control sham group.

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Article Synopsis
  • Glaucoma is a leading cause of blindness, and using deep learning to analyze retinal fundus images for screening has become common, but blood vessels in these images can complicate diagnosis.
  • This paper introduces MSGC-CNN, a multi-step framework that improves glaucoma diagnosis by integrating original fundus images with blood vessel-removed images, enhancing feature analysis.
  • The authors designed a specialized feature extraction network, RA-ResNet, and implemented transfer learning, achieving high classification accuracies of 92.01%, 93.75%, and 97.87% on three different public datasets, marking a significant improvement in diagnostic results.
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