首页|Department of General Surgery Reports Findings in Gastric Cancer (Machine learni ng-based radiomics score improves prognostic prediction accuracy of stage II/III gastric cancer: A multi-cohort study)
Department of General Surgery Reports Findings in Gastric Cancer (Machine learni ng-based radiomics score improves prognostic prediction accuracy of stage II/III gastric cancer: A multi-cohort study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology - Gastric Can cer is the subject of a report. According to news reporting originating from Ens hi, People's Republic of China, by NewsRx correspondents, research stated, “Alth ough accurately evaluating the overall survival (OS) of gastric cancer patients remains difficult, radiomics is considered an important option for studying prog nosis. To develop a robust and unbiased biomarker for predicting OS using machin e learning and computed tomography (CT) image radiomics.”
EnshiPeople's Republic of ChinaAsiaBiomarkersCancerClinical ResearchClinical Trials and StudiesCyborgsDiagnostics and ScreeningEmerging TechnologiesGastric CancerGastroenterologyHealth and MedicineMachine LearningOncologyRisk and Prevention
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