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Author Spotlight: Learning Systematic Bronchoscopy in a Simulation-Base Setting
Published on: June 23, 2023
Vahid Daneshpajooh1, Danish Ahmad2, Jennifer Toth2
1The Pennsylvania State University, School of Electrical Engineering and Computer Science, University Park, Pennsylvania, United States.
This study introduces an automated method for detecting bronchial lesions in narrow-band imaging (NBI) videos, improving early lung cancer detection. The real-time system offers higher accuracy than current subjective methods.
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