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Explainable deep learning and radiomics integration for differentiating insulinomas from NF-PNETs in EUS imaging. [PDF]
Mo S +10 more
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CT radiomics of adenocarcinoma of the esophagogastric junction: machine learning-based prediction of perineural invasion status. [PDF]
Zheng H +7 more
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Prediction of depression development in Parkinson's disease patients: a radiomics-based machine learning study. [PDF]
Yuan Y +5 more
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Differentiation of pulmonary tuberculosis from non-tuberculous solid lung lesions using radiomics and clinical-semantic features on contrast-enhanced CT. [PDF]
Zheng S +11 more
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GEP-NET radiomics: a systematic review and radiomics quality score assessment
European Radiology, 2022The number of radiomics studies in gastroenteropancreatic neuroendocrine tumours (GEP-NETs) is rapidly increasing. This systematic review aims to provide an overview of the available evidence of radiomics for clinical outcome measures in GEP-NETs, to understand which applications hold the most promise and which areas lack evidence.PubMed, Embase, and ...
Femke C. R. Staal +6 more
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