IEEE

DAM-UNET: Dual Attention Module Based UNET for Lung Tumor Segmentation Using CT Scans

Abstract: The increasing incidence of lung cancer demands urgent attention from medical scientists. Advanced deep learning-based methods have demonstrated promising capabilities in detecting even ...

Breathe Easy Mobile CT Screening Led by HeartLung Advisor Dr. Robert Headrick Featured at STS 2026

NEW ORLEANS , LA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- HeartLung Corporation announced today that ...
IEEE

Machine Learning Techniques for Accurate Staging of Lung Carcinoma from Low-Radiation CT Scans

Abstract: Early detection of lung cancer is paramount for improved patient outcomes and reduced mortality rates. This research presented an innovative methodology combining machine learning with ...

Lung Cancer Rising Among Never-Smokers. Screening For This Group Lags

Shira Boehler shares her journey being diagnosed with Stage 1 lung cancer. A doctor explains the need for better lung cancer screening for asymptomatic, never smokers.

Ai Medical Imaging Solutions

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Science Daily

This new blood test could detect cancer before it shows up on scans

A new light-based sensor can spot incredibly tiny amounts of cancer biomarkers in blood, raising the possibility of earlier and simpler cancer detection. The technology merges DNA nanotechnology, ...