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 study aims t...

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Dades bibliogràfiques

Autors principals:	Yang Li, Leo Yan Li-Han, Hua Tian
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Journal of Translational Engineering in Health and Medicine
Matèries:	Convolutional neural network developmental dysplasia of the hip keypoint detection radiograph scoring system
Accés en línia:	https://ieeexplore.ieee.org/document/10965781/
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