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The present and future of deep learning in radiology

2019336 citationsReview

Authors

Luca Saba · Policlinico Universitario di Catania

Mainak Biswas · National Institute of Technology Goa

Venkatanareshbabu Kuppili · National Institute of Technology Goa

Elisa Cuadrado‐Godia · Hospital Del Mar

Harman S. Suri · Brown University

Damodar Reddy Edla · National Institute of Technology Goa

Topics & Keywords

COVID-19 diagnosis using AI AI in cancer detection Artificial Intelligence in Healthcare and Education

UN Sustainable Development Goals

Decent work and economic growth

Publication Details

Published in: European Journal of Radiology

Volume 114, pp. 14-24

DOI: 10.1016/j.ejrad.2019.02.038

Field-Weighted Citation Impact: 32.96

The present and future of deep learning in radiology | Researchclopedia

· University Clinical Centre Maribor

John R. Laird · St. Helena Hospital

Narendra N. Khanna · Apollo Hospitals

Sophie Mavrogeni · Onassis Cardiac Surgery Center

Athanase D. Protogerou · National and Kapodistrian University of Athens

Petros P. Sfikakis · National and Kapodistrian University of Athens

Vijay Viswanathan · M.V. Hospital for Diabetes and Diabetes Research Centre

George D. Kitas · Dudley Group NHS Foundation Trust

Andrew Nicolaides · University of Cyprus

Ajay Gupta · Cornell University

Jasjit S. Suri · Rhopoint Instruments (United Kingdom)