Suggested methodology for longitudinal evaluation of nevi based on clinical images.

Ofer ReiterShenara MusthaqNicholas R KurtanskyDulce M BarriosAllan C HalpernMichael A MarchettiAshfaq A MarghoobJapbani K NandaJoseph StollVeronica Rotemberg

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)

Comparison of nevi from two different time points is more consistent than nevus count performed separately at each time point. In addition, except for selected cases, automated measurements of nevus diameter on 3D images can be used as a time-saving reproducible substitute for manual measurement on 2D images.

Keyphrases

deep learning
convolutional neural network
optical coherence tomography
machine learning
high throughput
cross sectional