A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants

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: Kevin D. McCay (Author), Pengpeng Hu (Author), Hubert P. H. Shum (Author), Wai Lok Woo (Author), Claire Marcroft (Author), Nicholas D. Embleton (Author), Adrian Munteanu (Author), Edmond S. L. Ho (Author)
Format: Book
Published: IEEE, 2022-01-01T00:00:00Z.
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