This study introduces a novel weakly-supervised object localization approach for bone fracture detection in 3D facial images. The proposed method employs a 3D detection model, which helps detect various forms of facial bone fractures accurately. The CAM algorithm adopted for fracture area segmentation within a 3D fracture detection box is key in quickly informing medical staff of the exact location of a facial bone fracture in a weakly-supervised object localization. In addition, we provide 3D visualization so that even non-experts unfamiliar with 3D CT images can identify the fracture status and location.
Keyphrases
- soft tissue
- deep learning
- loop mediated isothermal amplification
- hip fracture
- machine learning
- high resolution
- convolutional neural network
- label free
- real time pcr
- bone mineral density
- healthcare
- computed tomography
- optical coherence tomography
- bone regeneration
- magnetic resonance
- mass spectrometry
- bone loss
- long term care