Medical Xpress January 21, 2025
Radiological Society of North America

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published today in Radiology. The findings of the study could have important implications for lung cancer treatment.

According to the American Cancer Society, lung cancer is the second most common cancer among men and women in the U.S. and the leading cause of cancer death.

Accurate detection and of lung tumors on CT scans is critical for monitoring cancer progression, evaluating treatment responses and planning radiation therapy. Currently, experienced clinicians manually identify and segment lung tumors on medical images, a labor-intensive process that is subject to physician variability.

While deep learning methods have been applied to lung tumor detection and...

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