Diagnostic performance of deep-learning-based virtual chromoendoscopy in gastric neoplasms.

Sho SuzukiYusuke MonnoRyo AraiMasaki MiyaokaYosuke ToyaMitsuru EsakiTakuya WadaWaku HattaAyaka TakasuShigeaki NagaoFumiaki IshibashiYohei MinatoKenichi KondaTakahiro DohmenKenji MikiMasatoshi Okutomi

Published in: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association (2024)

The diagnostic ability of virtual IC was higher for some lesions, but not completely superior to that of WLE. Adjustments are required to improve the imaging system's performance.

Keyphrases

deep learning
high resolution
convolutional neural network
machine learning
photodynamic therapy