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Research#Fetal Biometry🔬 ResearchAnalyzed: Jan 10, 2026 09:58

New Benchmark Dataset Aims to Improve Fetal Biometry Accuracy with AI

Published:Dec 18, 2025 16:13
1 min read
ArXiv

Analysis

This research focuses on improving fetal biometry using AI, a critical application for prenatal health monitoring. The development of a multi-center, multi-device benchmark dataset is a significant step towards standardizing and advancing AI-driven analysis in this field.
Reference

“A multi-centre, multi-device benchmark dataset for landmark-based comprehensive fetal biometry.”

PermalinkArXiv
Research#Segmentation🔬 ResearchAnalyzed: Jan 10, 2026 11:59

Uncertainty Quantification in X-ray Image Segmentation with CheXmask-U

Published:Dec 11, 2025 14:50
1 min read
ArXiv

Analysis

This research focuses on the crucial aspect of uncertainty in medical image analysis, specifically within landmark-based anatomical segmentation of X-ray images. The study's emphasis on quantifying uncertainty provides a significant contribution to the reliability and interpretability of AI-driven medical imaging.
Reference

“CheXmask-U is the focus of this research, which quantifies uncertainty in landmark-based anatomical segmentation.”

PermalinkArXiv