Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy

Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy

Early detection of Cerebral Palsy (CP) is crucial for effective intervention and monitoring. This paper tests the reliability and applicability of Explainable AI (XAI) methods using a deep learning method that predicts CP by analyzing skeletal data extracted from video recordings of infant movements...

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Bibliographic Details
Main Authors: Kimji N. Pellano, Inga Strumke, Daniel Groos, Lars Adde, Espen F. Alexander Ihlen
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Explainable AI
CAM
Grad-CAM
skeleton data
Cerebral Palsy
Online Access:https://ieeexplore.ieee.org/document/10820328/
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