Accurate prediction of histological grading of intraductal papillary mucinous neoplasia using deep learning.

Dominik Andreas Helmut Otto SchulzMarkus HeilmaierVeit PhillipMatthias TreiberUlrich MayrTobias LahmerArthur SchmidtIhsan Ekin DemirHelmut FriessMaximilian ReichertRoland M SchmidMohamed Abdelhafez

Published in: Endoscopy (2022)

This pilot study demonstrates that deep learning in IPMN-EUS images can predict the histological outcome with high accuracy.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
high grade
low grade
machine learning
high resolution
fine needle aspiration
mass spectrometry
optical coherence tomography