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A deep learning approach for projection and body-side classification in musculoskeletal radiographs
4
Zitationen
8
Autoren
2024
Jahr
Abstract
• A large-scale, well-characterized dataset was developed, covering a broad spectrum of musculoskeletal radiographs. • Deep learning neural networks achieved high accuracy in classifying radiographic projection and body side. • Grad-CAM heatmaps provided insight into network decisions, contributing to their interpretability and trustworthiness. • The trained models can help optimize radiologic workflow and manage large amounts of data.
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