Assessment of hip displacement in children with cerebral palsy using machine learning approach.
Manual measurements of migration percentage (MP) on pelvis radiographs for assessing hip displacement are subjective and time consuming. A deep learning approach using convolution neural networks (CNNs) to automatically measure the MP was proposed. The pre-trained Inception ResNet v2 was fine tuned...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 59; no. 9; pp. 1877 - 1888 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2021
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| Acceso en línea: | Ver este registro en EBSCOhost |