A comparative study of melanocytic nevi classification with dermoscopy and high-frequency ultrasound.

Yu-Kun WangYuan-Jing GaoJie LiuChenyang Zhao Jun-Cheng WangJing QinHong-Zhong Jin

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) (2021)

MN can be correctly classified using HF-US, and it had a strong correlation with dermoscopic and clinical classification. HF-US could further reveal the internal morphological features of MN, which may support more precise classification and management.

Keyphrases

high frequency
deep learning
machine learning
transcranial magnetic stimulation
magnetic resonance imaging
room temperature
acute heart failure
single cell
heart failure
gene expression
transition metal
metal organic framework
dna methylation