A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
RealityScan 2.1 adds LiDAR and SLAM data import, automation via CLI and REST/gRPC, improved UV unwrapping and render-camera ...
An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...
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