Linked Color Imaging with Artificial Intelligence Improves the Detection of Early Gastric Cancer

Our CADe system showed significantly better sensitivity in detecting GC when used in LCI compared with WLI mode. Moreover, the sensitivity of CADe using LCI is significantly higher than those of expert endoscopists using LCI to detect GC.

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Publication Details

Journal
Digestive Diseases
Published
2024-08-05
DOI
https://doi.org/10.1159/000540728
Citations
6
Primary Topic
Gastric Cancer Management and Outcomes
Type
article
Field-Weighted Citation Impact
2.51
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article

Linked Color Imaging with Artificial Intelligence Improves the Detection of Early Gastric Cancer

Takeshi Yasuda, Katsuma Yamauchi, N. Iwai, Tsugitaka Ishida et al.
6 citations
Digestive Diseases
Gastric Cancer Management and Outcomes
2.51
article

Linked Color Imaging with Artificial Intelligence Improves the Detection of Early Gastric Cancer

Takeshi Yasuda, Katsuma Yamauchi, N. Iwai, Tsugitaka Ishida, Hayato Fukui, Naohisa Yoshida, Mayuko Seya, Hiroki Mukai, Tomoko Ochiai, Ruiyao Zhang, Osamu Dohi, Xinkai Liu, Xin Zhu, Hajime Miyazaki, Ken Inoue, Yoshito Itoh, Youshen Zhao
article en
6 citations

Abstract

Our CADe system showed significantly better sensitivity in detecting GC when used in LCI compared with WLI mode. Moreover, the sensitivity of CADe using LCI is significantly higher than those of expert endoscopists using LCI to detect GC.

Digestive DiseasesVol. 42(6)
University of Aizu (JP), Kyoto Prefectural University of Medicine (JP)
Good health and well-being
Openalex Percentile: Top 10%
Gastric Cancer Management and Outcomes
2.51
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Linked Color Imaging with Artificial Intelligence Improves the Detection of Early Gastric Cancer — Takeshi Yasuda, Katsuma Yamauchi, et al. · Digestive Diseases (2024) | TGRS Research Map | TGRS