Deep Learning-Based Automatic Diagnosis System for Developmental Dysplasia of the Hip

Deep Learning-Based Automatic Diagnosis System for Developmental Dysplasia of the Hip

The clinical diagnosis of developmental dysplasia of the hip (DDH) typically involves manually measuring key radiological angles—Center-Edge (CE), Tönnis, and Sharp angles—from pelvic radiographs, a process that is time-consuming and susceptible to variability. This...

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Bibliographic Details
Main Authors: Yang Li, Leo Yan Li-Han, Hua Tian
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Convolutional neural network
developmental dysplasia of the hip
keypoint detection
radiograph
scoring system
Online Access:https://ieeexplore.ieee.org/document/10965781/
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