You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
|
---|---|
Chapter number | 81 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00934-2_81 |
Book ISBNs |
978-3-03-000933-5, 978-3-03-000934-2
|
Authors |
Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel J. Mollura |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 157 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 35 | 22% |
Researcher | 24 | 15% |
Student > Master | 21 | 13% |
Other | 6 | 4% |
Student > Doctoral Student | 4 | 3% |
Other | 14 | 9% |
Unknown | 53 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 57 | 36% |
Engineering | 20 | 13% |
Medicine and Dentistry | 11 | 7% |
Physics and Astronomy | 3 | 2% |
Mathematics | 2 | 1% |
Other | 9 | 6% |
Unknown | 55 | 35% |