Density map estimation with convolutional neural networks to count radiopaque markers on colonic transit studies.

Published in: Pediatric radiology (2022)

The proposed CNN generated promising results in counting the number of radiopaque markers on abdominal radiographs and offers the potential of automating the interpretation of colonic transit studies.

Keyphrases

convolutional neural network
deep learning
case control
ulcerative colitis
peripheral blood
machine learning
climate change
high density