Machine learning model based on radiomics features for ao/ota classification of pelvic fractures on pelvic radiographs

HIGHLIGHTS

• What: This study attempted to classify pelvic fracture patterns according to the Association for Osteosynthesis Foundation and Orthopedic Trauma Association (AO/OTA) classification system for pelvic X-ray images using a radiomics-based machine-learning algorithm . The data access date for research purposes began on January 15, 2023, and continued until the end of the study. The libraries used in the experiment were a Python open-source library (PyRadiomics 3.0.1) , a library focused on real-time image processing (OpenCV-Python AO/OTA pelvic fracture classification 4.6.0.66), a Python-based open-source machine_learning . . .
  

   

  

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