Evaluation process of phototherapy efficacy based on convolutional neural networks
Non-invasive photoelectricity treatment is gradually becoming widespread in clinical applications,but the current as-sessment of the effect of photoelectricity treatment is mainly based on the subjective judgment of the clinical staff and patients,or with the help of skin detector products to quantitatively analyze several characteristics of the indicators before and after the treatment.There is no intelligent,standardized evaluation process in the field.From January 2023 to May 2024,an intelligent evaluation process of treatment ef-fect based on convolutional neural network is designed,covering data collection,data enhancement,model training to final efficacy grading,and the practical value of this process in the field of plastic and cosmetic surgery and the future intelligent construction of plastic and cos-metic surgery are discussed.
Artificial intelligencePhototherapyConvolutional neural networkIntelligenceDiscipline construction
NETL
NSTL
万方数据
