2D U-Net
PulseAugur coverage of 2D U-Net — every cluster mentioning 2D U-Net across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New framework quantifies temporal explainability in medical AI video analysis
Researchers have developed a new quantitative framework to evaluate the temporal explainability of deep learning models used in echocardiographic video segmentation. This framework uses four metrics to assess temporal c…
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Hybrid CNN Framework Reduces CT Scan Artifacts
Researchers have developed a novel hybrid deep-learning framework to reduce artifacts in undersampled 3D cone-beam CT scans. This method combines a 2D U-Net for initial feature extraction from individual slices with a 3…
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AI generates synthetic histology data for faster brain pathway analysis · 2 sources tracked
Researchers have developed a novel framework for automated fiber bundle segmentation in macaque tracer histology, utilizing synthetic data generated from diffusion MRI (dMRI) tractography. This approach synthesizes 2D i…
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AI model enhances abdominal organ segmentation in CT scans
Researchers have developed a new framework using a multi-planar 2D-U-Net architecture to segment five abdominal organs in 3D CT scans. This method enhances segmentation accuracy by incorporating fuzzy 3D spatial maps th…