Infant hip screening using multi-class ultrasound scan segmentation

Andrew Stamper, Abhinav Singh, James McCouat, Irina Voiculescu

Submitted on 8 November 2022


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.


Comment: Four page paper

Subjects: Electrical Engineering and Systems Science - Image and Video Processing; Computer Science - Computer Vision and Pattern Recognition; I.2.1