首页|Fudan University Reports Findings in Solid Cancer (Fast prediction of personaliz ed abdominal organ doses from CT examinations by radiomics feature-based machine learning models)
Fudan University Reports Findings in Solid Cancer (Fast prediction of personaliz ed abdominal organ doses from CT examinations by radiomics feature-based machine learning models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Solid Cance r is the subject of a report. According tonews originating from Shanghai, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“The X-rays em itted during CT scans can increase solid cancer risks by damaging DNA, with the risk tiedto patient-specific organ doses. This study aims to establish a new me thod to predict patient specificabdominal organ doses from CT examinations usin g minimized computational resources at a fast speed.”
ShanghaiPeople’s Republic of ChinaAs iaCancerCyborgsEmerging TechnologiesHealth and MedicineMachine Learnin gOncologyRisk and PreventionSolid Cancer
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