Futurity July 1, 2024
Researchers have created artificial tumors to help artificial intelligence detect early-stage cancer.
Their new method generates enormous datasets of artificial, automatically annotated liver tumors on CT scans, enabling artificial intelligence models to be trained to accurately identify real tumors without human help.
Led by Alan Yuille, a professor of cognitive science and computer science at Johns Hopkins University and the director of the computational cognition, vision, and learning group, the team will present its research at next month’s Conference on Computer Vision and Pattern Recognition.
The team’s work could play an important role in solving for the scarcity of high-quality data needed to train AI algorithms to detect cancer.
This shortage stems from the challenging process of identifying tumors on...
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