Samuel H. Hawkins

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OBJECTIVES The aim of this study was to determine whether quantitative analyses ("radiomics") of low-dose computed tomography lung cancer screening images at baseline can predict subsequent emergence of cancer. METHODS Public data from the National Lung Screening Trial (ACRIN 6684) were assembled into two cohorts of 104 and 92 patients with(More)
Lung cancer is the most common cause of cancer-related deaths in the USA. It can be detected and diagnosed using computed tomography images. For an automated classifier, identifying predictive features from medical images is a key concern. Deep feature extraction using pretrained convolutional neural networks (CNNs) has recently been successfully applied in(More)
Fifty-nine patients with serious infections were assigned at random in a two-to-one ratio to receive either cefmenoxime or cefoxitin given intravenously in a dosage of 0.5 to 2.0 g every six hours. Of 44 patients evaluable for efficacy, eight had concomitant bacteremia and all but 10 had serious underlying disease. The average duration of therapy was seven(More)
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