A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants
The early diagnosis of cerebral palsy is an area which has recently seen significant multi-disciplinary research. Diagnostic tools such as the General Movements Assessment (GMA), have produced some very promising results. However, the prospect of automating these processes may improve accessibility...
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| Main Authors: | , , , , , , , |
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| Format: | Book |
| Published: |
IEEE,
2022-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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