Concepedia

Assessment of performances of a deep learning algorithm for the detection of limbs and pelvic fractures, dislocations, focal bone lesions, and elbow effusions on trauma X-rays

Nor-Eddine Regnard, Boubekeur Lanseur, Jeanne Ventre, Alexis Ducarouge, Lauryane Clovis, Louis Lassalle, Elise Lacave, Albane Grandjean, Aurélien Lambert, B. Dallaudière,

European Journal of Radiology · 2022 · 37 citations · 25 references

References

25

Two-sided confidence intervals for the single proportion: comparison of seven methods

Robert G. Newcombe · Statistics in Medicine · 1998 · 5K citations

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

Pranav Rajpurkar, Jeremy Irvin, Robyn L. Ball et al. · PLoS Medicine · 2018 · 1.3K citations · Full text

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

Adam Yala, Constance D. Lehman, Tal Schuster et al. · Radiology · 2019 · 694 citations

Deep neural network improves fracture detection by clinicians

Robert Lindsey, Aaron Daluiski, Sumit Chopra et al. · Proceedings of the National Academy of Sciences · 2018 · 582 citations · Full text

Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks

Dong Hee Kim, T. MacKinnon · Clinical Radiology · 2017 · 472 citations

Artificial Intelligence, Convolutional Neural Network, Fracture Detection +5