Supervised training models with or without manual lesion delineation outperform clinicians in distinguishing pulmonary cryptococcosis from lung adenocarcinoma on chest CT
Yun Li,
Deyan Chen,
Shuyi Liu
et al.
Abstract:BackgroundThe role of artificial intelligence (AI) in the discrimination between pulmonary cryptococcosis (PC) and lung adenocarcinoma (LA) warrants further research.ObjectivesTo compare the performances of AI models with clinicians in distinguishing PC from LA on chest CT.MethodsPatients diagnosed with confirmed PC or LA were retrospectively recruited from three tertiary hospitals in Guangzhou. A deep learning framework was employed to develop two models: an undelineated supervised training (UST) model utilis… Show more
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