Interpretation of smartphone-captured radiographs utilizing a deep
learning-based approach

Interpretation of smartphone-captured radiographs utilizing a deep learning-based approach

13 September 2020

Thanh-Thien Nguyen

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Papers citing "Interpretation of smartphone-captured radiographs utilizing a deep learning-based approach"

8 / 8 papers shown

Title
CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness Nick A. Phillips Pranav Rajpurkar Mark Sabini R. Krishnan Sharon Zhou ... Mudit Jain Nguyen Duong Du Steven QH Truong A. Ng M. Lungren MedIm 59 13 0 13 Jul 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels Hieu H. Pham T. Le Dat Ngo Dat Q. Tran H. Nguyen 73 165 0 25 May 2020
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs Keno K. Bressem Lisa Christine Adams C. Erxleben B. Hamm S. Niehues J. Vahldiek 49 168 0 20 Feb 2020
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 114 2,601 0 21 Jan 2019
Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks Jonathan Rubin Deepan Sanghavi Claire Zhao Kathy Lee Ashequl Qadir M. Xu-Wilson MedIm 35 84 0 20 Apr 2018
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks Sebastian Gündel Sasa Grbic Bogdan Georgescu S. Kevin Zhou L. Ritschl A. Meier Dorin Comaniciu 61 194 0 12 Mar 2018
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification Ivo M. Baltruschat H. Nickisch M. Grass T. Knopp A. Saalbach 72 384 0 06 Mar 2018
Learning to diagnose from scratch by exploiting dependencies among labels L. Yao Eric Poblenz Dmitry Dagunts Ben Covington D. Bernard Kevin Lyman 62 335 0 28 Oct 2017