LM-CartSeg pipeline automates knee MRI cartilage and bone segmentation for radiomics

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

影响 Provides a robust, automated foundation for multi-center knee osteoarthritis radiomics studies.

排序理由 Academic paper detailing a new automated segmentation pipeline for medical imaging analysis.

在 arXiv cs.CV 阅读 →

• LM-CartSeg
• nnU-Net
• OAIZIB-CM
• Po-OA
• SKI-10
• Tongxu Zhang

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