ArticleContrast media & molecular imaging2021
Tic Disorder of Children Analyzed and Diagnosed by Magnetic Resonance Imaging Features under Convolutional Neural Network.
Article in Contrast media & molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Applying artificial intelligence in neurodevelopmental disorders management and research.European journal of medical research · 2026Review
- Effect of acupuncture on tic disorder: a randomized controlled clinical trial based on energy metabolomics and infrared thermography.BMC complementary medicine and therapies · 2024Article
- Advances in Clustering and Classification of Tic Disorders: A Systematic Review.Neuropsychiatric disease and treatment · 2024Review
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work aimed to explore the analysis and diagnosis of children with tic disorder by magnetic resonance imaging (MRI) features under convolutional neural network (CNN), to provide a certain reference basis for clinical identification. A total of 45 children diagnosed with tic disorder in hospital from January 2018 to June 2020 were selected as the research subjects. A total of 30 normal children were selected as the control group. MRI images were collected, and CNN was constructed for image processing. The results showed that the convolutional neural network could significantly improve the speed of MRI reconstruction and can improve the diagnostic accuracy. Compared with normal children, the metabolites in children with tic disorder were slightly increased, but there was no statistical significance (
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