Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches.

Agnieszka Barbara SzczotkaDzhoshkun Ismail ShakirDaniele RavìMatthew J ClarksonStephen P PereiraTom Vercauteren

Published in: International journal of computer assisted radiology and surgery (2020)

The main contributions of our study are a comparison of sparse and dense approach in pCLE image reconstruction. We also implement trainable generalised NW kernel regression as a novel sparse approach. We also generated synthetic data for training pCLE SR.

Keyphrases

electronic health record
big data
neural network
deep learning
machine learning
data analysis
virtual reality