Screening infant hips: DDH diagnosis via deep learning
Developmental dysplasia of the hip (DDH) is a condition in infants where the femoral head is incorrectly located in the hip joint. We propose a deep learning algorithm for segmenting key structures within ultrasound images, employing this to calculate Femoral Head Coverage (FHC) and provide a screen...
| Auteurs principaux: | , , , |
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| Format: | Conference item |
| Langue: | English |
| Publié: |
IEEE
2023
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| Résumé: | Developmental dysplasia of the hip (DDH) is a condition in
infants where the femoral head is incorrectly located in the
hip joint. We propose a deep learning algorithm for segmenting key structures within ultrasound images, employing this
to calculate Femoral Head Coverage (FHC) and provide a
screening diagnosis for DDH. To our knowledge, this is the
first study to automate FHC calculation for DDH screening.
Our algorithm outperforms the international state of the art,
agreeing with expert clinicians on 89.8% of our test images. |
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