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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 |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters 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 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 152 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 43 | 28% |
Student > Master | 26 | 17% |
Researcher | 18 | 12% |
Student > Bachelor | 14 | 9% |
Other | 8 | 5% |
Other | 18 | 12% |
Unknown | 25 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 71 | 47% |
Engineering | 34 | 22% |
Agricultural and Biological Sciences | 3 | 2% |
Business, Management and Accounting | 2 | 1% |
Physics and Astronomy | 2 | 1% |
Other | 7 | 5% |
Unknown | 33 | 22% |