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X Demographics
Mendeley readers
Chapter title |
Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images
|
---|---|
Chapter number | 47 |
Book title |
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-66179-7_47 |
Book ISBNs |
978-3-31-966178-0, 978-3-31-966179-7
|
Authors |
Yizhe Zhang, Lin Yang, Jianxu Chen, Maridel Fredericksen, David P. Hughes, Danny Z. Chen |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 214 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 53 | 25% |
Student > Master | 31 | 14% |
Researcher | 22 | 10% |
Student > Bachelor | 15 | 7% |
Other | 9 | 4% |
Other | 22 | 10% |
Unknown | 62 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 86 | 40% |
Engineering | 37 | 17% |
Physics and Astronomy | 3 | 1% |
Agricultural and Biological Sciences | 3 | 1% |
Business, Management and Accounting | 2 | <1% |
Other | 10 | 5% |
Unknown | 73 | 34% |