Conference item
Screening infant hips: DDH diagnosis via deep learning
- Abstract:
- 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.
- Publication status:
- Accepted
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Host title:
- Proceedings of the 20th International Symposium on Biomedical Imaging (ISBI 2023)
- Acceptance date:
- 2023-01-23
- Event title:
- 20th International Symposium on Biomedical Imaging (ISBI 2023)
- Event location:
- Cartagena de Indias, Colombia
- Event website:
- http://2023.biomedicalimaging.org/en/
- Event start date:
- 2023-04-18
- Event end date:
- 2023-04-21
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1324951
- Local pid:
- pubs:1324951
- Deposit date:
- 2023-01-23
Terms of use
- Notes:
- This paper will be presented at the 20th International Symposium on Biomedical Imaging (ISBI 2023), 18th - 21st April 2023, Cartagena de Indias, Colombia. This is the accepted manuscript version of the article. The final version will be available online from a forthcoming edition of the conference proceedings.
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