Use of Endoscopic Images in the Prediction of Submucosal Invasion of Gastric Neoplasms: Automated Deep Learning Model Development and Usability Study.

Chang-Seok Bang Hyun Lim Hae Min Jeong Sung Hyeon Hwang

Published in: Journal of medical Internet research (2021)

AutoDL is deemed useful for the on-site establishment of customized deep learning models. An inexperienced endoscopist with at least a certain level of expertise can benefit from AutoDL support.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
cell migration
electronic health record
high throughput
optical coherence tomography
single cell