High-definition optical coherence tomography algorithm for the discrimination of actinic keratosis from normal skin and from squamous cell carcinoma.

M A L M BooneA MarneffeMariano SuppaM MiyamotoI AlarconR Hofmann-WellenhofJ MalvehyG PellacaniV Del Marmol

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

This study provides select 3-D HD-OCT features having a potential to discriminate SCC from AK and normal skin. Based on these particular features with high Phi coefficient, a diagnostic algorithm is designed which will be used later in validation studies to determine HD-OCT accuracy in AK/SCC classification.

Keyphrases

optical coherence tomography
machine learning
deep learning
squamous cell carcinoma
diabetic retinopathy
soft tissue
optic nerve
wound healing
magnetic resonance imaging
lymph node metastasis
magnetic resonance
computed tomography
radiation therapy
locally advanced
case control
climate change