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Background: Pediatric craniofacial fractures are difficult to assess on computed tomography (CT) because growth-related anatomy and subtle fracture patterns can obscure clinically relevant findings. We evaluated a lightweight 2.5D deep-learning approach after expansion of an earlier 63-examination pilot. Methods: The r...
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