Machine learning model based on radiomics features for AO/OTA classification of pelvic fractures on pelvic radiographs.

Machine learning model based on radiomics features for AO/OTA classification of pelvic fractures on pelvic radiographs.

Depending on the degree of fracture, pelvic fracture can be accompanied by vascular damage, and in severe cases, it may progress to hemorrhagic shock. Pelvic radiography can quickly diagnose pelvic fractures, and the Association for Osteosynthesis Foundation and Orthopedic Trauma Association (AO/OTA...

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Bibliographic Details
Main Authors: Jun Young Park, Seung Hwan Lee, Young Jae Kim, Kwang Gi Kim, Gil Jae Lee
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0304350

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https://doi.org/10.1371/journal.pone.0304350

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