Deep learning framework sharpens low-dose CT images while cutting noise
Researchers report a deep learning framework called ShearFocusNet that denoises low-dose CT images by combining Shearlet-based directional perception with spatial ...
Researchers report a deep learning framework called ShearFocusNet that denoises low-dose CT images by combining Shearlet-based directional perception with spatial ...
A systematic review and meta-analysis finds pooled sensitivity of 85.4 percent and specificity of 83.5 percent for deep learning-assisted low-dose ...
A new review details the major updates to the ACR's Lung-RADS system, from Category 0 and expanded juxtapleural criteria to ...
A prospective observational study found that mobile low-dose CT screening reached 2,018 high-risk people in Northeast Brazil, detected 19 lung ...
New Griffith University research shows that electronic nose and gas chromatography-mass spectrometry analysis of exhaled breath can distinguish cancerous lung ...
A new study in the Journal of General Internal Medicine uses nationally representative survey data to examine the predicted lung ...
A secondary analysis of a randomized trial found that automated digital outreach identified thousands of adults eligible for lung cancer ...
Researchers at Boğaziçi University have developed a CycleGAN-based deep learning model with residual dense blocks and attention modules that significantly ...
Researchers in Vietnam have developed U-NetL2O, an explainable learning-to-optimize framework that embeds a U-Net into an unrolled ADMM scheme to ...
A qualitative study of nineteen Hispanic adults reveals that low lung cancer screening uptake in this community stems from limited ...
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© 2026 Scienmag - Science Magazine