News Finding: "That's fine when you're looking at cat videos and stuff on the internet -- there's many of those," she said.
Paper Finding: Taken together, these results suggest that our approach may be useful in helping echocardiographers improve their accuracy, efficiency, and workflow and provide a foundation for highthroughput analysis of echocardiographic data.
News Context: The humans, on the other hand, demonstrated 70.2 to 83.5 percent accuracy. "That's fine when you're looking at cat videos and stuff on the internet -- there's many of those," she said. She says the researchers were able to build the view classification with less than 1 percent of 1 percent of the data available to them.
Paper Context: We report a model that achieves nearly 98 percent overall test accuracy based on a variety of video and still-image view-classification tasks. Taken together, these results suggest that our approach may be useful in helping echocardiographers improve their accuracy, efficiency, and workflow and provide a foundation for highthroughput analysis of echocardiographic data. Clustering analyses showed that the neural network could sort heterogeneous input images into groups according to view (Fig.