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Found 2 papers, 2 papers with code
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models
In this work, we focus on improving the training strategy and propose a novel recycling method.
Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels
When developing deep neural networks for segmenting intraoperative ultrasound images, several practical issues are encountered frequently, such as the presence of ultrasound frames that do not contain regions of interest and the high variance in ground-truth labels.
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