Deep Learning Cleans Up Rock Scans, One Noisy Pixel at a Time
Deep learning models trained on 35,060 synthetic image pairs automatically remove salt-and-pepper noise, ring artifacts, and beam-hardening distortions from micro-CT ...
Deep learning models trained on 35,060 synthetic image pairs automatically remove salt-and-pepper noise, ring artifacts, and beam-hardening distortions from micro-CT ...
A new review in PhotoniX Life maps how deep learning is improving fluorescence microscopy across imaging quality, speed, throughput and ...
Researchers at Boğaziçi University have developed a CycleGAN-based deep learning model with residual dense blocks and attention modules that significantly ...
Researchers have combined singular value decomposition, a decision tree classifier, and a new Frequency Deviation Median Filter to remove salt-and-pepper ...
Researchers have developed DeepWonder3D, an AI-driven pipeline that rapidly and accurately extracts the activity of tens of thousands of neurons ...
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© 2025 Scienmag - Science Magazine