aceDual-domain cross-constraint MIM based hybrid symmetry convolution-Mamba network for ultrasound diagnosis of DDH
Developmental dysplasia of the hip (DDH) is a critical congenital condition in infants, which is generally early diagnosed by B-mode ultrasound (BUS). Deep learning-based computer-aided diagnosis has shown effectiveness in diagnosing DDH from BUS images. However, the issue of small sample size remains a challenge. To this end, a Dual-domain Cross-constraint Masked image modeling based hybrid Symmetry Convolution-Mamba Network (DCM-SCMNet) is proposed for the BUS-based diagnosis of DDH with limited training sampl…
A new deep learning model trained with masked image modeling on limited ultrasound samples diagnosed infant hip dysplasia better than the other algorithms it was compared with on the DDH dataset.
Evidence
- Peer-reviewedMedical & Biological Engineering & Computing2026-10-24
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Truvace Impact Record TRV-2026-2260, v1: “Dual-domain cross-constraint MIM based hybrid symmetry convolution-Mamba network for ultrasound diagnosis of DDH.” Truvace, 2026-10-26. /record/TRV-2026-2260 (accessed at citation time). sha256 2cd51e4c434b4009…
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