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Objectively quantifying facial erythema in rosacea aided by the ImageJ analysis of VISIA red images.

Meng TaoMin LiYue ZhangYunyi LiuPeiyu JiangYixuan LiuYang Xu
Published in: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) (2022)
We demonstrated a more objective and precise method of assessing the severity of facial erythema rosacea, which could comprehensively assess the severity by both the area and intensity of facial erythema.
Keyphrases
  • soft tissue
  • deep learning
  • high intensity
  • convolutional neural network
  • optical coherence tomography