DeepScope: Nonintrusive whole slide saliency annotation and prediction from pathologists at the microscope

Keyphrases

• Pathologist 100%
• Non-intrusive 100%
• Whole-slide 100%
• Saliency 100%
• Bladder 75%
• Prostate 75%
• Glass Slide 50%
• Digital Slides 50%
• Clinical Work 25%
• United States Food 25%
• Clinical Diagnosis 25%
• Image Data 25%
• Primary Diagnosis 25%
• Clinical Services 25%
• Digital Pathology 25%
• Whole Slide Image 25%
• Image Level 25%
• Area under the Receiver Operating Characteristic (AUROC) 25%
• Digital Image 25%
• Convolutional Neural Network 25%
• Diagnostic Process 25%
• Observation Time 25%
• Pathology Department 25%
• Manual Labeling 25%
• Video Frames 25%
• Petabyte 25%
• Treasure 25%
• Reporting Accuracy 25%
• Large-scale Application 25%
• Salient Region 25%
• Camera Mount 25%
• Machine Learning Tasks 25%
• Service Commitment 25%
• Video Record 25%
• Applications of Supervised Learning 25%
• Spatiotemporal Saliency 25%
• Medical Machine Learning 25%
• Spatial Saliency 25%
• Time-motion 25%
• Saliency Map 25%

Computer Science

• Annotation 100%
• Clinical Routine 33%
• Supervised Learning 33%
• Observation Time 33%
• Salient Region 33%
• Medical Machine 33%
• Convolutional Neural Network 33%
• Machine Learning 33%
• Learning System 33%