Medical imaging datasets
PulseAugur coverage of Medical imaging datasets — every cluster mentioning Medical imaging datasets across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New framework calibrates medical image segmentation for multiple raters
Researchers have developed an attention-based prototype calibration framework designed to improve few-shot medical image segmentation. This method addresses the common issue of variability in annotations from multiple e…
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Medical image classification framework uses knowledge graphs for improved diagnosis
Researchers have developed a new framework for medical image classification that integrates multimodal knowledge graphs and a reliability-guided refinement process. This approach aims to mimic clinical diagnosis by leve…
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New methods tackle noisy labels in AI datasets
Researchers have developed a new method called Standardized Loss Aggregation (SLA) to detect noisy labels in large datasets, particularly in medical imaging. SLA quantifies label reliability by analyzing standardized lo…