Deep learning models trained on video, equipment logs and clinical data from 222 real coronary angiograms recognized catheterization lab workflow phases with over 90 percent accuracy.
A new ensemble deep learning framework called EnPreNiNet, paired with a night image enhancement technique, achieved a reported mean Average Precision of 76.3 percent for multi-object detection in ...
Identify shock absorbers and cylinders in images. Draw bounding boxes around detected objects. Display object names and confidence scores. Detect objects using a live camera. Allow users to adjust ...
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