CapsuleThermNet: A CNN-CapsuleNet Architecture for Early Detection of Suicide Risk in Depressed Patients Using Thermal Facial Imaging

CapsuleThermNet: A CNN-CapsuleNet Architecture for Early Detection of Suicide Risk in Depressed Patients Using Thermal Facial Imaging

Early detection of suicide risk plays a vital role in improving mental health care outcomes, especially for individuals suffering from depression. Traditional methods, such as clinical interviews, are widely regarded as the gold standard in suicide risk assessment. However, these methods often rely...

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Bibliographic Details
Main Authors: Eddy Muntina Dharma, Harjanto Prabowo, Agung Trisetyarso, Tjhin Wiguna
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
CapsuleThermNet
early detection
suicide risk
thermal imaging
deep learning
convolutional neural networks (CNNs)
Online Access:https://ieeexplore.ieee.org/document/11037673/
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https://ieeexplore.ieee.org/document/11037673/

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