Publication | Closed Access

Highly accurate artificial intelligence systems to predict the invasion depth of gastric cancer: efficacy of conventional white-light imaging, nonmagnifying narrow-band imaging, and indigo-carmine dye contrast imaging

EngineeringConventional White-light ImagingMedical ImagingInvasion DepthDigital PathologyBiomedical ImagingGastroenterologyPathologyInnovative DiagnosticsComputer-aided DiagnosisGastric CancerMedical Image ComputingMedicineDiagnostic ImagingRadiology