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Learning to Complement with Multiple Humans
The ill-posedness of the LNL task requires the adoption of strong assumptions or the use of multiple noisy labels per training image, resulting in accurate models that work well in isolation but fail to optimise human-AI collaborative classification (HAI-CC).
Automatic Delineation of Kidney Region in DCE-MRI
To address this issue, we present Dynamic Mode Decomposition (DMD) coupled with thresholding and blob analysis as a framework for automatic delineation of the kidney region.
Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images
Traditionally, human experts are required to manually delineate the kidney ROI across multiple images in the dynamic sequence.
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