Recognizing schizophrenia using facial expressions based on convolutional neural network
Abstract Objective Facial expressions have been served as clinical symptoms to convey mental conditions in psychiatry. This paper proposes to recognize patients with schizophrenia (SCZ) using their facial images based on deep learning algorithm, and to investigate objective differences in facial exp...
Main Authors: | Xiaofei Zhang, Tongxin Li, Conghui Wang, Tian Tian, Haizhu Pang, Jisong Pang, Chen Su, Xiaomei Shi, Jiangong Li, Lina Ren, Jing Wang, Lulu Li, Yanyan Ma, Shen Li, Lili Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-05-01
|
Series: | Brain and Behavior |
Subjects: | |
Online Access: | https://doi.org/10.1002/brb3.3002 |
Similar Items
-
Abnormal ambiguous facial expression recognition in Chinese patients with schizophrenia
by: Xiaoli Lyu, et al.
Published: (2024-03-01) -
Facial Emotion Recognition in Schizophrenia
by: Zhiyun Gao, et al.
Published: (2021-05-01) -
Efficacy of Facial Exercises in Facial Expression Categorization in Schizophrenia
by: Francesco Pancotti, et al.
Published: (2021-06-01) -
Characteristics of Patients That Do Not Initially Respond to Intravenous Antihypertensives in the Emergency Department: Subanalysis of the CLUE Trial
by: Freiermuth, Caroline E., et al.
Published: (2015-03-01) -
Recognizing Facial Expressions Using a Shallow Convolutional Neural Network
by: Si Miao, et al.
Published: (2019-01-01)