Global ETD Search
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Showing 1 to 4 of 4 for “"Lung nodule"”.
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A Phantom Study for Attenuation Change and Detection of Calcification in Lung Nodules According to Variation of Examination Techniques in Low Dose CT
… To evaluate the attenuation change of hyperdense lung nodule and diagnostic performance of visual assessment according to various tube voltage and current setting in low-dose CT comparing with standard-dose CT. Material and Methods : A chest phantom containing artificial nodules was scanned with …
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Towards Fully Automated Volumetric Analysis of Lung Nodules in Computed Tomography
Early detection of lung cancer significantly improves patient outcomes, and tracking the growth of lung nodules over time is key to understanding their progression and informing future treatment decisions. However, calculating nodule growth in computed tomography (CT) scans remains a highly manual …
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Better Generalization with Less Human Annotation Using Meta-Learning and Self-Supervised Learning for Image Analysis
… task to significantly improve the incidental lung nodule classification accuracy for the data-hungry 3D Vision Transformer (3D-ViT) model, and propose the self-supervised learning model Blind-Trace Network (BTN) for the application in the unsupervised seismic interpolation task.