OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition

arXiv:2402.18786v1 Announce Type: new
Abstract: Depression Recognition (DR) poses a considerable challenge, especially in the context of the growing concerns surrounding privacy. Traditional automatic diagnosis of DR technology necessitates the use of facial images, undoubtedly expose the patient identity features and poses privacy risks. In order to mitigate the potential risks associated with the inappropriate disclosure of patient facial images, we design a new imaging system to erase the identity information of captured facial images while retain disease-relevant features. It …

abstract arxiv challenge concerns context cs.cv depression diagnosis features identity images imaging optical patient privacy recognition risks technology type