Depression detection based on dual path DCGAN data generation and classification-regression network

Depression detection based on dual path DCGAN data generation and classification-regression network

ObjectiveAccurate evaluation of depression scores of depressed patients can not only provide effective support for clinical auxiliary diagnosis, but also develop personalized diagnosis and treatment plans for different patients, thus improving the accuracy of clinical diagnosis and treatment, which...

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Bibliographic Details
Main Authors: LU Jingxue, LI Hongyan, ZHENG Ruichao, QIN Ruizhen
Format: Article
Language:English
Published: Editorial Department of Journal of Sichuan University (Engineering Science Edition) 2025-01-01
Series:工程科学与技术
Subjects:
audio
depression detection
generative adversarial network
category-regression
Residual Network
Online Access:http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202400537
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