M3YOLOv5: Feature enhanced YOLOv5 model for mandibular fracture detection

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Tao Zhou, Hongwei Wang, Yuhu Du, Fengzhen Liu, Yujie Guo, Huiling Lu

Published: 2024, Last Modified: 06 Nov 2025Comput. Biol. Medicine 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Global-Local Feature Extraction Module (GLFEM) is designed to improve positioning abolity of the model.•Deep-Shallow Feature Interaction Module (DSFIM) is designed to locate and recognize the fracture region of mandible.•Multi-scale Multi receptive-field Feature Mixing Module (MMFMM) is designed to locate and recognize the fracture region of mandible.