Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising
PulseAugur coverage of Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising — every cluster mentioning Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising across labs, papers, and developer communities, ranked by signal.
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Deep learning model retrieves atmospheric profiles from satellite data
Researchers have developed a deep learning framework using a Residual U-Net architecture to retrieve tropospheric temperature and humidity profiles from the Meteosat Third Generation's Flexible Combined Imager. This met…
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New SimpSyn Model Advances Invertebrate Synapse Detection
Researchers have developed SimpSyn, a novel Residual U-Net model designed for efficient and accurate synapse detection in invertebrate species. This model was trained on a diverse benchmark dataset encompassing four vol…
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New AI workflow maps farmland extent using satellite imagery and SAM 3
Researchers have developed a new workflow to map farmland extent and boundaries using 1-meter NAIP imagery. The method combines a Residual U-Net model, trained with a Dice-dominant loss, and a Segment Anything Model (SA…