Unet based Image Segmentation of Sweat Droplets for Assisting Assessment of Atopic Dermatitis
2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)(2022)
摘要
In this paper, we describe an automatic analysis that identifies skin structure and sweat droplets from skin surface images. The analysis uses a discriminator based on deep learning and has succeeded in producing results that in some cases exceed the diagnosis of a medical experts. The discriminator is built based on U-Net, which is used for image segmentation.
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关键词
Skin Surface Structure,Sweat Droplets,Impression Mold Technique (IMT),Deep Learning,U-Net,Image Segmentation
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