3D Whole-Body Skin Imaging for Automated Melanoma Detection.

Michael A MarchettiZ H NazirJ K NandaS W DuszaB M D'AlessandroJ DeFazioAllan C HalpernV M RotembergA A Marghoob

Published in: Journal of the European Academy of Dermatology and Venereology : JEADV (2023)

In this proof-of-concept pilot study, we demonstrated that automated analysis of whole-body 3D-images using simple image processing techniques can discriminate melanoma from other skin lesions with high accuracy. Further studies with larger, higher quality, and more representative 3D-imaging datasets would be needed to improve and validate these results.

Keyphrases

deep learning
high resolution
machine learning
high throughput
soft tissue
convolutional neural network
wound healing
cross sectional
optical coherence tomography
quality improvement
fluorescence imaging
rna seq
loop mediated isothermal amplification
photodynamic therapy
case control