Concepedia
Statistics
Publications
3
Citations
196
H-Index
Active since
2018
Affiliations
The University of Tokyo(Current)
Osaka International Cancer Institute
Teikyo University Hospital
Nagoya University
Yuma Endo is an author at The University of Tokyo specializing in deep learning, engineering, and diagnosis.
Top concepts
MedicineDiagnosisRadiologyEngineeringDeep LearningGastroenterologyMachine LearningMedical Image ComputingComputer-aided Diagnosis
Publications per year
2018–2020
Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus
Youichi Kumagai, Kaiyo Takubo, Kenro Kawada et al. · Esophagus · 2018 · 90 citations
Engineering, Machine Learning, Intelligent Diagnostics +12
Application of convolutional neural networks for evaluating<i>Helicobacter pylori</i>infection status on the basis of endoscopic images
Satoki Shichijo, Yuma Endo, Kazuharu Aoyama et al. · Scandinavian Journal of Gastroenterology · 2019 · 86 citations
Automatic anatomical classification of colonoscopic images using deep convolutional neural networks
Hiroaki Saito, Tetsuya Tanimoto, Tsuyoshi Ozawa et al. · Gastroenterology report · 2020 · 20 citations · Full text
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