Concepedia

The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs

Tsubasa Mawatari, Yoshiko Hayashida, Shigehiko Katsuragawa, Yuta Yoshimatsu, Toshihiko Hamamura, Kenta Anai, Midori Ueno, Satoru Yamaga, Issei Ueda, Takashi Terasawa,

European Journal of Radiology · 2020 · 44 citations · 27 references

DOI

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References

27

Going deeper with convolutions

Christian Szegedy, Wei Liu, Yangqing Jia et al. · 2015 · 46.8K citations

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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Hoo-Chang Shin, Holger R. Roth, Mingchen Gao et al. · IEEE Transactions on Medical Imaging · 2016 · 5.8K citations · Full text

, , +16

An estimate of the worldwide prevalence and disability associated with osteoporotic fractures

Olof Johnell, J. A. Kanis · Osteoporosis International · 2006 · 4.7K citations

, , +13

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

Paras Lakhani, Baskaran Sundaram · Radiology · 2017 · 1.8K citations

, , +17

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

John R. Zech, Marcus A. Badgeley, Manway Liu et al. · PLoS Medicine · 2018 · 1.5K citations · Full text

, , +17