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Found 4 papers, 3 papers with code
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
These include a training strategy that incorporates both a highly diverse set of images and tasks, novel algorithms for simulated user interactions and labels, and a network that enables fast inference.
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Existing learning-based solutions to medical image segmentation have two important shortcomings.
Markerless Augmented Advertising for Sports Videos
Markerless augmented reality can be a challenging computer vision task, especially in live broadcast settings and in the absence of information related to the video capture such as the intrinsic camera parameters.
Categorical Co-Frequency Analysis: Clustering Diagnosis Codes to Predict Hospital Readmissions
We found substituting ICD majors for the CoFA-identified clusters simplified the model without compromising the accuracy of predictions.
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