首页|Southwest University Reports Findings in Adenocarcinoma (Feasibility and effectiveness of automatic deep learning network and radiomics models for differentiating tumor stroma ratio in pancreatic ductal adenocarcinoma)
Southwest University Reports Findings in Adenocarcinoma (Feasibility and effectiveness of automatic deep learning network and radiomics models for differentiating tumor stroma ratio in pancreatic ductal adenocarcinoma)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Adenocarcinoma is the subject of a report. Accordingto news reporting originating from Chongqing, People’s Republic of China, by NewsRx correspondents,research stated, “This study aims to compare the feasibility and effectiveness of automatic deep learningnetwork and radiomics models in differentiating low tumor stroma ratio (TSR) from high TSR in pancreaticductal adenocarcinoma (PDAC). A retrospective analysis was conducted on a total of 207 PDAC patientsfrom three centers (training cohort: n = 160; test cohort: n = 47).”
ChongqingPeople’s Republic of ChinaAsiaAdenocarcinomaCancerGastroenterologyHealth and MedicineOncologyPancreas
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