Contour subregion error detection methodology using deep learning auto-segmentation

Keyphrases

• Detection Method 100%
• Error Detection 100%
• Deep Learning Auto-segmentation 100%
• Detection System 50%
• False Positive Rate 40%
• Parotid 30%
• Contour Error 30%
• High Risk 20%
• Brainstem 20%
• Failure Risk 20%
• Manual Review 20%
• Failure Mode 20%
• Quality Assurance System 20%
• Segmentation Contours 20%
• Contour Quality 20%
• Radiation Therapy 10%
• Validation Data 10%
• Validation Studies 10%
• Radiation Oncologist 10%
• Manual Segmentation 10%
• Quantitative Detection 10%
• Surface Distance 10%
• Knowledge Base 10%
• Performance Accuracy 10%
• Clinical Training 10%
• Qualitative Detection 10%
• Quantitative Visualization 10%
• Manual Inspection 10%
• Organ Delineation 10%
• Detection Localization 10%
• Organ Segmentation 10%
• Error Location 10%
• Head-and-neck 10%
• Training Dataset 10%
• Qualitative Evaluation 10%
• Public Dataset 10%

Medicine and Dentistry

• Brainstem 100%
• False Positive Result 100%
• Neck 50%
• Radiation Therapy 50%
• Radiation Oncologist 50%
• Organ Segmentation 50%
• Radiation Treatment 50%