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Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images

Overview of attention for article published in Frontiers in Artificial Intelligence, November 2021
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Title
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images
Published in
Frontiers in Artificial Intelligence, November 2021
DOI 10.3389/frai.2021.764047
Pubmed ID
Authors

Alexander Wong, Jack Lu, Adam Dorfman, Paul McInnis, Mahmoud Famouri, Daniel Manary, James Ren Hou Lee, Michael Lynch

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 9%
Student > Ph. D. Student 3 9%
Student > Bachelor 3 9%
Researcher 3 9%
Student > Master 3 9%
Other 6 17%
Unknown 14 40%
Readers by discipline Count As %
Medicine and Dentistry 5 14%
Agricultural and Biological Sciences 4 11%
Computer Science 3 9%
Engineering 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 4 11%
Unknown 14 40%