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Mendeley readers
Chapter title |
Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression
|
---|---|
Chapter number | 1 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-59719-1_1 |
Book ISBNs |
978-3-03-059718-4, 978-3-03-059719-1
|
Authors |
Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison, Cai, Jinzheng, Yan, Ke, Cheng, Chi-Tung, Xiao, Jing, Liao, Chien-Hung, Lu, Le, Harrison, Adam P. |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 29% |
Researcher | 5 | 18% |
Other | 3 | 11% |
Student > Master | 1 | 4% |
Student > Postgraduate | 1 | 4% |
Other | 0 | 0% |
Unknown | 10 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 32% |
Engineering | 6 | 21% |
Agricultural and Biological Sciences | 2 | 7% |
Unknown | 11 | 39% |