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New open-source system automates skeletal maturity assessment

Researchers have developed BoneAgeTW2, an open-source system designed to automate the Tanner-Whitehouse 2 (TW2) protocol for assessing skeletal maturity. The system utilizes YOLOv8 for bone detection and EfficientNet-B3 for classifying maturation stages of 20 hand bones. It generates detailed clinical PDF reports with distribution curves, comparing bone maturation against population norms. The model was trained on a large dataset of pediatric hand radiographs and its complete codebase is publicly available. AI

IMPACT This system could streamline clinical workflows for skeletal maturity assessment, potentially improving diagnostic speed and consistency.

RANK_REASON The cluster describes a new research paper detailing an open-source system for medical image analysis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New open-source system automates skeletal maturity assessment

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Juan Manuel Castillo Pinto ·

    BoneAgeTW2: Automated Skeletal Maturation Assessment via the Tanner-Whitehouse 2 Method, Deep Learning, and Clinical Report Generation with Distribution Curves

    arXiv:2607.23224v1 Announce Type: cross Abstract: We present BoneAgeTW2, the first fully open-source system to automate the complete Tanner-Whitehouse 2 (TW2) clinical protocol for skeletal maturity assessment end-to-end. The system employs YOLOv8 for precise detection and locali…