Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography.

Elżbieta Pociask Krzysztof Piotr Malinowski Magdalena Ślęzak Joanna Krystyna Jaworek-Korjakowska Wojciech Wojakowski Tomasz Roleder

Published in: Journal of healthcare engineering (2018)

Proposed algorithm allows for fully automated lumen segmentation on optical coherence tomography images. This tool may be applied to automated quantitative lumen analysis.

Keyphrases

deep learning
optical coherence tomography
convolutional neural network
machine learning
ultrasound guided
diabetic retinopathy
high throughput
high resolution
optic nerve
st elevation myocardial infarction
coronary artery disease