IEEE

ARU-Net-MC: Enhanced Residual U-Net with Multi-Head Attention for Lung Nodule Segmentation

Abstract: Early detection of lung cancer through CT imaging significantly improves patient survival rates. Precise segmentation of pulmonary nodules is essential for computer-aided diagnostic systems ...
Medical Xpress

Unexpected findings on lung cancer CT scans may point to other non-lung cancers

When doctors review diagnostic medical scans for lung cancer, they sometimes spot abnormalities unrelated to the lungs. New research shows that some of those abnormalities could be signs of other ...
Brown University

Unexpected findings on lung cancer CT scans may point to other non-lung cancers, study finds

An analysis of lung screening data led by Brown University researchers helps identify which abnormalities detected outside the lungs may warrant follow-up attention and treatment. PROVIDENCE, R.I.
IEEE

Lung Nodule Classification Using Transformer - depending on Multi-View Radiomics Fusion

Abstract: The proposed approach offers a new methodology for lung nodule recognition utilizing transformer-based architectures combined with a multi-view radiomics fusion framework. This approach ...
Healio

Safety, diagnostic confidence better with photon-counting vs. standard CT in lung cancer

Please provide your email address to receive an email when new articles are posted on . Contrast-induced acute kidney injury was significantly less frequent in those who underwent photon-counting CT ...