Interactive Medical Image Labeling Tool to Construct a Robust Convolutional Neural Network Training Data Set: Development and Validation Study.

David Reifs Ramon Reig-Bolaño Marta Casals Sergi Grau-Carrion

Published in: JMIR medical informatics (2022)

This method increases tagging speed on average compared to an advanced image editing user. This increase is greater with untrained users. The samples obtained with the new system are indistinguishable from the samples made with the gold standard.

Keyphrases

deep learning
convolutional neural network
crispr cas
healthcare
artificial intelligence
electronic health record
machine learning
big data
resistance training
body composition
data analysis