Web: http://arxiv.org/abs/2206.08398

June 20, 2022, 1:12 a.m. | Gautam Rajendrakumar Gare, Tom Fox, Pete Lowery, Kevin Zamora, Hai V. Tran, Laura Hutchins, David Montgomery, Amita Krishnan, Deva Kannan Ramanan, Ric

cs.CV updates on arXiv.org arxiv.org

Contemporary artificial neural networks (ANN) are trained end-to-end, jointly
learning both features and classifiers for the task of interest. Though
enormously effective, this paradigm imposes significant costs in assembling
annotated task-specific datasets and training large-scale networks. We propose
to decouple feature learning from downstream lung ultrasound tasks by
introducing an auxiliary pre-task of visual biomarker classification. We
demonstrate that one can learn an informative, concise, and interpretable
feature space from ultrasound videos by training models for predicting
biomarker labels. Notably, …

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