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
Sayaka Nagao, Yosuke Tsuji, Yoshiki Sakaguchi, Yu Takahashi, Chihiro Minatsuki, Keiko Niimi, Hiroharu Yamashita, Nobutake Yamamichi, Yasuyuki Seto, Tomohiro Tada, Kazuhiko Koike
Topics & Concepts
MedicineIndigo carmineWhite lightNarrow-band imagingIndigoContrast (vision)LesionPredictive valueNuclear medicineArtificial intelligenceRadiologyOpticsPathologyEndoscopyInternal medicineComputer scienceNuclear chemistryChemistryPhysicsGastric Cancer Management and OutcomesEsophageal Cancer Research and TreatmentHelicobacter pylori-related gastroenterology studies