首页|Guangzhou Medical University Reports Findings in Squamous Cell Carcinoma (Advanc ing NSCLC pathological subtype prediction with interpretable machine learning: a comprehensive radiomics-based approach)
Guangzhou Medical University Reports Findings in Squamous Cell Carcinoma (Advanc ing NSCLC pathological subtype prediction with interpretable machine learning: a comprehensive radiomics-based approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Squamous Ce ll Carcinoma is the subject of a report. According to news reporting from Guangd ong, People's Republic of China, by NewsRx journalists, research stated, “This r esearch aims to develop and assess the performance of interpretable machine lear ning models for diagnosing three histological subtypes of non-small cell lung ca ncer (NSCLC) utilizing CT imaging data. A retrospective cohort of 317 patients d iagnosed with NSCLC was included in the study.”
GuangdongPeople's Republic of ChinaAsiaCancerCyborgsEmerging TechnologiesHealth and MedicineMachine Learni ngOncologySquamous Cell Carcinoma
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