High-definition optical coherence tomography algorithm for discrimination of basal cell carcinoma from clinical BCC imitators and differentiation between common subtypes.

M A L M BooneMariano SuppaG PellacaniA MarneffeM MiyamotoI AlarconC RuiniR Hofmann-WellenhofJ MalvehyG B E JemecV Del Marmol

Published in: Journal of the European Academy of Dermatology and Venereology : JEADV (2015)

This study provides a thorough description of 3-D HD-OCT features that can permit discrimination of BCC from clinical BCC imitators and differentiation of BCC subtypes. Based on these features, a diagnostic algorithm is proposed which requires additional validation, but enhances current understanding of the morphological correlates of HD-OCT images in skin.

Keyphrases

optical coherence tomography
deep learning
diabetic retinopathy
basal cell carcinoma
machine learning
optic nerve
convolutional neural network
neural network
soft tissue