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Parotid Diseases

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Applying deep learning-based ensemble model to [F]-FDG-PET-radiomic features for differentiating benign from malignant parotid gland diseases.

Japanese journal of radiology 39254903
OBJECTIVES: To develop and identify machine learning (ML) models using pretreatment 2-deoxy-2-[F]fluoro-D-glucose ([F]-FDG)-positron emission tomography (PET)-based radiomic features to differentiate benign from malignant parotid gland diseases (PGDs...
Adult Aged Aged, 80 and over Deep Learning Diagnosis, Differential Female Fluorodeoxyglucose F18 Humans Male Middle Aged Parotid Diseases Parotid Gland Parotid Neoplasms Positron Emission Tomography Computed Tomography Radiomics Radiopharmaceuticals Retrospective Studies Sensitivity and Specificity
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