首页|Bengbu Medical University Reports Findings in Rectal Cancer (Preoperative predic tion of rectal Cancer staging combining MRI deep transfer learning, radiomics fe atures, and clinical factors: accurate differentiation from stage T2 to T3)
Bengbu Medical University Reports Findings in Rectal Cancer (Preoperative predic tion of rectal Cancer staging combining MRI deep transfer learning, radiomics fe atures, and clinical factors: accurate differentiation from stage T2 to T3)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Rectal Canc er is the subject of a report. According tonews reporting originating from Anhu i, People’s Republic of China, by NewsRx correspondents, researchstated, “This study evaluates the efficacy of integrating MRI deep transfer learning, radiomic signatures,and clinical variables to accurately preoperatively differentiate b etween stage T2 and T3 rectal cancer. Weincluded 361 patients with pathological ly confirmed stage T2 or T3 rectal cancer, divided into a trainingset (252 pati ents) and a test set (109 patients) at a 7:3 ratio.”
AnhuiPeople’s Republic of ChinaAsiaCancerGastroenterologyHealth and MedicineMachine LearningOncologyRect al CancerSupport Vector Machines
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