Parallel attention multi-scale mandibular fracture detection network based on CenterNet

Published: 2024, Last Modified: 06 Nov 2025Biomed. Signal Process. Control. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Pay attention to the characteristics of different sizes of fracture sites.•Use artificial intelligence methods to assist in the diagnosis of mandibular fracture sites.•Reduce the burden of doctors' film reading.•Strengthen the feature extraction ability of the network.•Utilize parallel attention structures to enhance fracture detection capabilities.
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