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Quantitative 18F-FDG PET-CT scan characteristics correlate with tuberculosis treatment response

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A machine learning-based framework for Predicting Treatment Failure in tuberculosis: A case study of six countries

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Artificial Intelligence in Imaging: The Radiologist’s Role

(2019) Daniel L. Rubin   Journal of the American College of Radiology

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The epidemiology, pathogenesis, transmission, diagnosis, and management of multidrug-resistant, extensively drug-resistant, and incurable tuberculosis

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CT findings of pulmonary tuberculosis and tuberculous pleurisy in diabetes mellitus patients

(2017) Jihyun Kim et al.   Diagnostic and Interventional Radiology

Detecting representative data and generating synthetic samples to improve learning accuracy with imbalanced data sets

(2017) Der-Chiang Li et al.   PLoS One

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(2015) Evangelia Skoura et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

Tuberculosis, Pulmonary Cavitation, and Matrix Metalloproteinases

(2014) Catherine W. M. Ong et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

PET/CT imaging correlates with treatment outcome in patients with multidrug-resistant tuberculosis

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