使用智能激光散斑分类（ILSC）对Covid-19疫苗接种对皮肤细胞结构影响的进展性观察
Progressive observation of Covid-19 vaccination effects on skin-cellular structures by use of Intelligent Laser Speckle Classification (ILSC)
摘要：
我们通过使用成熟的基于图像的智能激光散斑分类（ILSC）技术，对新冠肺炎疫苗接种对皮肤细胞网络和特性的影响进行了渐进式观察，并通过激光散斑皮肤图像采样成功区分了三个不同的受试者群体，如早期接种疫苗、晚期接种疫苗和未接种疫苗的个体。结果证明，ILSC技术与优化的贝叶斯网络相结合，能够对接种疫苗和未接种疫苗的个体的皮肤变化进行分类，并且还能够检测一个月内皮肤细胞特性的渐进发展。
英文摘要：
We have made a progressive observation of Covid-19 Astra Zeneca Vaccination effect on Skin cellular network and properties by use of well established Intelligent Laser Speckle Classification (ILSC) image based technique and managed to distinguish between three different subjects groups via their laser speckle skin image samplings such as early-vaccinated, late-vaccinated and non-vaccinated individuals. The results have proven that the ILSC technique in association with the optimised Bayesian network is capable of classifying skin changes of vaccinated and non-vaccinated individuals and also of detecting progressive development made on skin cellular properties for a month period.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
