Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images.

Akiyoshi TsuboiShiro OkaKazuharu AoyamaHiroaki SaitoTomonori AokiAtsuo YamadaTomoki MatsudaMitsuhiro FujishiroSoichiro IshiharaMasato NakahoriKazuhiko KoikeShinji TanakaTomohiro Tada

Published in: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society (2019)

We developed and validated a new system based on CNN to automatically detect angioectasia in CE images. This may be well applicable to daily clinical practice to reduce the burden of physicians as well as to reduce oversight.

Keyphrases

convolutional neural network
deep learning
small bowel
artificial intelligence
clinical practice
big data
machine learning
primary care
physical activity
loop mediated isothermal amplification
real time pcr
risk factors
optical coherence tomography
energy transfer
quantum dots
sensitive detection