Image Recognition
“Given an image of a cat where its skin is replaced with that of an elephant, existing neural networks are susceptible to being deceived and misidentifying the image as an elephant,” Zhang said. Zhang is proposing a new family of deep neural networks with the power to analyze shapes: deep shape-based neural networks, or DSNNs. The outcome of this research will have immediate, long-lasting and wide-ranging impacts in the real world beyond medical imaging. Image analysis through artificial intelligence is transforming health care, Zhang said, and there’s a critical need to train surgeons in AI basics. “Then you create an interconnected and mutually beneficial education system for successive generations of engineers and medical students,” Zhang said.