Prediction of fishman’s skeletal maturity indicators using artificial intelligence

HIGHLIGHTS

  • who: Harim Kim from the DepartmentYonsei University have published the Article: Prediction of Fishmanu2019s skeletal maturity indicators using artificial intelligence, in the Journal: Scientific Reports Scientific Reports
  • what: MP5 (fifth middle phalanx) and PP1 (first proximal phalanx) were added by utilizing the detection algorithm based on the work by Li et_al13 RetinaNet, a deep convolutional neural_network (CNN), was utilized for the automated detection of ROIs. Similarly, in the present study, the prediction accuracy for SMI stage 5 was found to be lower compared to other SMI stages.

SUMMARY

    The automated assessment . . .

     

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