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Deep learning for automated, motion-resolved tumor segmentation in radiotherapy
NU2025-264 INVENTORS Mohamed Abazeed* Sagnik Sarkar Peng Thian Troy Teo SHORT DESCRIPTION This invention describes a method for automatically outlining lung tumors for radiotherapy planning. It uses deep learning to precisely identify tumors across breathing cycles, improving accuracy and reducing manual effort. BACKGROUND Accurate tumor...
Published: 2/17/2026   |   Inventor(s):  
Keywords(s): Artificial Intelligence & Machine Learning, Cancer/Oncology, Diagnostics, Imaging, Lung cancer, Radiotherapy
Category(s): Life Sciences > Healthcare Devices, Tools & IT