Psoriasis assessment system based on skin image and skin electric signal

The invention discloses a psoriasis assessment system based on skin images and skin electric signals, and the system is characterized in that an image segmentation module segments a diseased region and a normal region in each skin image through a segmentation model, and obtains a label data set; the scoring module calculates a target BSA proportion score according to the label data set; the electric signal processing module processes electric signals collected by the skin electric signal collecting device to obtain a signal feature set. And the disease condition evaluation module classifies the signal feature set and the target BSA proportion score according to a K-nearest neighbor algorithm to obtain a target disease condition. The target BSA proportion score is calculated according to the total skin area and the diseased region area in the skin image of the patient. Meanwhile, features in the skin electric signals are extracted, and the disease condition of the patient is evaluated through the target BSA pr