Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology

Keyphrases

• Benchmark Dataset 33%
• Blur Detection 33%
• Clinical Application 33%
• Clinical Setting 33%
• Commercial Software 33%
• Computational Pathology 33%
• Convolution Neural Network 33%
• Deep Learning Methods 33%
• Depth Comparison 33%
• Digital Archives 33%
• Digital Pathology 100%
• Digital Slides 66%
• Error Rate 33%
• Expert Inspection 33%
• Feature Learning 33%
• Heat Map 33%
• High-throughput 66%
• Human Expert 33%
• Human Perception 33%
• Large-scale Machine Learning 33%
• Microscope Slides 33%
• Out-of-focus 33%
• Pathology Department 33%
• Perception Study 33%
• Performance Prediction 33%
• Quality Control 100%
• Random Forest 33%
• Residual Network 33%
• Superior Performance 33%
• Verge 33%

Computer Science

• Clinical Setting 50%
• Convolutional Neural Network 50%
• Deep Learning Method 50%
• Digital Archive 50%
• Expert Inspection 50%
• High Throughput 100%
• Human Perception 50%
• Learning System 50%
• Machine Learning 50%
• Prediction Performance 50%
• Random Decision Forest 50%
• Residual Neural Network 50%
• Superior Performance 50%