Color painting predicts clinical symptoms in chronic schizophrenia patients via deep learning
Abstract Background Individuals with psychiatric disorders perceive the world differently. Previous studies indicated impaired color vision and weakened color discrimination ability in psychotic patients. Examining the paintings from psychotic patients can measure the visual-motor function. However,...
Main Authors: | Hui Shen, Shui-Hua Wang, Yi Zhang, Haixia Wang, Feng Li, Molly V. Lucas, Yu-Dong Zhang, Yan Liu, Ti-Fei Yuan |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2021-10-01
|
Series: | BMC Psychiatry |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12888-021-03452-3 |
Similar Items
-
A Deep Learning Review of ResNet Architecture for Lung Disease Identification in CXR Image
by: Syifa Auliyah Hasanah, et al.
Published: (2023-12-01) -
ResNet-LSTM for Real-Time PM<sub>2.5</sub> and PM₁₀ Estimation Using Sequential Smartphone Images
by: Shiguang Song, et al.
Published: (2020-01-01) -
ResNet-50-NTS digital painting image style classification based on Three-Branch convolutional attention
by: Xiaohong Wang, et al.
Published: (2025-03-01) -
Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning
by: Osman Tayfun Bişkin, et al.
Published: (2025-02-01) -
Robust Learning with Implicit Residual Networks
by: Viktor Reshniak, et al.
Published: (2020-12-01)