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...
| Published in: | Medical & Biological Engineering & Computing Vol. 59; no. 9; pp. 1877 - 1888 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Sep2021
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| Online Access: | View this record in EBSCOhost |