首页|Binzhou People’s Hospital Reports Findings in Cervical Cancer (Radiomics-based m achine learning models for differentiating pathological subtypes in cervical can cer: a multicenter study)
Binzhou People’s Hospital Reports Findings in Cervical Cancer (Radiomics-based m achine learning models for differentiating pathological subtypes in cervical can cer: a multicenter study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Cervical Ca ncer is the subject of a report. According to news reporting from Binzhou, Peopl e’s Republic of China, by NewsRx journalists, research stated, “This study was d esigned to determine the diagnostic performance of fluorine-18-fluorodeoxyglucos e (F-FDG) positron emission tomography (PET)/computed tomography (CT) radiomics- based machine learning (ML) in the classification of cervical adenocarcinoma (AC ) and squamous cell carcinoma (SCC). Pretreatment F-FDG PET/CT data were retrosp ectively collected from patients who were diagnosed with locally advanced cervic al cancer at two centers.”
BinzhouPeople’s Republic of ChinaAsi aCancerCervical CancerCyborgsEmerging TechnologiesHealth and MedicineMachine LearningOncologyWomen’s Health
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