Researchers have developed LM-CartSeg, an automated pipeline for segmenting knee MRI scans to analyze cartilage and subchondral bone. This system uses two 3D nnU-Net models and geometric rules for accurate compartmentalization and radiomics feature extraction. The pipeline demonstrated strong performance in classifying osteoarthritis, outperforming models that only considered size-related features. AI
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IMPACT Provides a robust, automated foundation for multi-center knee osteoarthritis radiomics studies.
RANK_REASON Academic paper detailing a new automated segmentation pipeline for medical imaging analysis.