10 July 2022>: Clinical Research
Automatic Identification of Depression Using Facial Images with Deep Convolutional Neural Network
Xinru Kong 1CE* , Yan Yao 1BC* , Cuiying Wang 1BC , Yuangeng Wang 1BF , Jing Teng 2DG , Xianghua Qi 2AG*DOI: 10.12659/MSM.936409
Med Sci Monit 2022; 28:e936409
Figure 3 (A–E) Training loss vs validation loss of FCN, VGG11, VGG19, ResNet50, and Inception-V3. VGG11, ResNet50 network, and Inception-V3 models had serious oscillation and achieved good results in speed and accuracy. At the same time, the loss function curves of the VGG11 and FCN models decreased rapidly and the model oscillation was small.