Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.

Tobias RoßDavid ZimmererAnant VemuriFabian IsenseeManuel WiesenfarthSebastian BodenstedtFabian BothPhilip KesslerMartin WagnerBeat MüllerHannes KenngottStefanie SpeidelAnnette Kopp-SchneiderKlaus Maier-HeinLena Maier-Hein

Published in: International journal of computer assisted radiology and surgery (2018)

As it makes efficient use of available (non-)public and (un-)labeled data, the approach has the potential to become a valuable tool for CNN (pre-)training.

Keyphrases

electronic health record
big data
healthcare
human health
convolutional neural network
pet imaging
emergency department
risk assessment
climate change
adverse drug
positron emission tomography