Convolutional neural network for detecting rib fractures on chest radiographs: a feasibility study

HIGHLIGHTS

• who: Jiangfen Wu from the (UNIVERSITY) have published the article: Convolutional neural network for detecting rib fractures on chest radiographs: a feasibility study, in the Journal: (JOURNAL) of 25/06/2019
• what: And existing studies using chest radiographs for multiple rib fracture detection have used more complex and slower detection algorithms so the authors aimed to create a multiple rib fracture detection model by using a convolutional neural network (CNN) based on multi-center and quality-normalised chest radiographs. The CNN model based on YOLOv3 was sensitive for detecting rib fractures on chest radiographs and . . .
  

   

  

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