Application of deep-learning-based artificial intelligence in acetabular index measurement
ObjectiveTo construct an artificial intelligence system to measure acetabular index and evaluate its accuracy in clinical application.MethodsA total of 10,219 standard anteroposterior pelvic radiographs were collected retrospectively from April 2014 to December 2018 in our hospital. Of these, 9,219...
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| Main Authors: | , , , , , , |
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| Format: | Book |
| Published: |
Frontiers Media S.A.,
2023-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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