Effects of deep learning on radiologists' and radiology residents' performance in identifying esophageal cancer on CT.

Koichiro YasakaSosuke HatanoMasumi MizukiNaomasa OkimotoTakatoshi KuboEisuke ShibataTakeyuki WatadaniOsamu Abe

Published in: The British journal of radiology (2023)

A deep learning model could mainly help less experienced readers to detect esophageal cancer by improving their diagnostic confidence and diagnostic performance.

Keyphrases

deep learning
artificial intelligence
convolutional neural network
machine learning
computed tomography
image quality
contrast enhanced
dual energy
magnetic resonance imaging
positron emission tomography