computed tomography

Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning
Lung cancer screening (LCS) using annual computed tomography (CT) scanning significantly reduces mortality by detecting cancerous lung …
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Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study
In this study, we present a hybrid CNN-RNN approach to investigate long-term survival of subjects in a lung cancer screening study. …
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A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study
Deep Learning Based Long Term Mortality Prediction in the National Lung Screening Trial
In this study, the long-term mortality in the National Lung Screening Trial (NLST) was investigated using a deep learning-based method. …
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Deep Learning Based Long Term Mortality Prediction in the National Lung Screening Trial
A computationally efficient approach to segmentation of the aorta and coronary arteries using deep learning
A fully automatic two-dimensional Unet model is proposed to segment aorta and coronary arteries in computed tomography images. Two …
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Pleuroparenchymal fibroelastosis in idiopathic pulmonary fibrosis: Survival analysis using visual and computer-based computed tomography assessment
Background Idiopathic pulmonary fibrosis (IPF) and pleuroparenchymal fibroelastosis (PPFE) are known to have poor outcomes but detailed …
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