Concepedia

Three artificial intelligence data challenges based on CT and MRI

Nathalie Lassau, Imad Bousaid, Émilie Chouzenoux, Jean-Philippe Lamarque, Benoit Charmettant, Mikael Azoulay, François Cotton, Antoine Khalil, Olivier Lucidarme, F. Pigneur,

Diagnostic and Interventional Imaging · 2020 · 43 citations · 27 references

DOIFull text

Open access

Concepts

References

27

Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening

New England Journal of Medicine · 2011 · 11K citations · Full text

, , +12

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Varun Gulshan, Lily Peng, Marc Coram et al. · JAMA · 2016 · 7.5K citations

, , +17

Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl

Juan C. Caicedo, Allen Goodman, Kyle W. Karhohs et al. · Nature Methods · 2019 · 853 citations · Full text

, , +14

Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening

Nanda Horeweg, Joost van Rosmalen, Marjolein A. Heuvelmans et al. · The Lancet Oncology · 2014 · 527 citations

, , +13

The RSNA Pediatric Bone Age Machine Learning Challenge

Safwan S. Halabi, Luciano M. Prevedello, Jayashree Kalpathy–Cramer et al. · Radiology · 2018 · 454 citations · Full text

, , +17