Quantitative evaluation of binary digital region asymmetry with application to skin lesion detection.

Agustin Sancen-PlazaRaul Santiago-MonteroHumberto SossaFrancisco J Perez-PinalJuan J Martinez-NolascoJosé-Alfredo Padilla-Medina

Published in: BMC medical informatics and decision making (2018)

Simple image digital features such as compactness can be used to quantify the asymmetry of a skin lesion using its digital binary image representation. This measure is stable taking into account translations, rotations, scale changes and can be applied to non-convex regions, including areas with holes.

Keyphrases

deep learning
soft tissue
ionic liquid
wound healing
high resolution
machine learning
mass spectrometry
quantum dots