基于大数据的影像分析模型的设计

Design of skin image analysis model based on big data

关于皮肤领域的大数据可以从不同维度获取,如疾病维度、病人维度、数据维度等,根据皮肤影像分析所需要的大数据维度,进行关于皮肤影像分析模型的设计。采用深度学习方法,对皮肤影像进行分类,根据皮肤影像对各类皮肤病诊断的优势,为皮肤科医生提供量化的诊断依据,从而完成对皮损类别的预测,帮助皮肤科医生对病人病情进行准确分析和判断。

Big data in the skin field can be obtained from different dimensions,such as disease dimensions,patient dimensions,data dimensions,etc.According to the big data dimensions required for skin image analysis,the design of the skin image analysis model is carried out.Using deep learning methods to classify skin images and according to the advantages of skin images in the diagnosis of various skin diseases,we could provide dermatologists with a quantitative diagnosis basis,thereby completing the prediction of skin lesions,and helping dermatologists to diagnose the patient s condition with accurate analysis and judgment.