Deep learning–based segmentation of whole-body fetal MRI and fetal weight estimation: assessing performance, repeatability, and reproducibility

Keyphrases

• Whole-body 100%
• Fetus 100%
• Repeatability 100%
• Fetal Weight Estimation 100%
• Fetal MRI 100%
• Growth Restriction 60%
• Growth Charts 40%
• Birth Weight 20%
• Weight Growth 20%
• High Sensitivity 20%
• Gestational Age 20%
• Volume Difference 20%
• Fetal Weight 20%
• Weight-based 10%
• Estimation Method 10%
• Quality Assessment 10%
• Clinical Significance 10%
• Study Support 10%
• Segmentation Method 10%
• Ultrasound 10%
• High Performance 10%
• Deep Learning 10%
• High Reproducibility 10%
• Fetal Development 10%
• Birth Weight Percentile 10%
• Large Cohort 10%
• Normal Growth 10%
• Quality Estimation 10%
• Segmentation Model 10%
• Repeated Scans 10%
• Human Segmentation 10%
• High Repeatability 10%
• Retrospective Data 10%
• Appropriate for Gestational Age 10%
• Repeatability Coefficient 10%
• Absolute Volume 10%
• Segmentation-based 10%
• Small Fetus 10%
• Fetuses-at-risk 10%
• Normal MRI 10%
• AI-based Methods 10%
• Assessment Module 10%

Medicine and Dentistry

• Magnetic Resonance Imaging 100%
• Reproducibility 100%
• Fetus Weight 100%
• Growth Chart 40%
• Gestational Age 30%
• Birth Weight 30%
• Fetus Development 10%