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 |
3D Deeply-Supervised U-Net Based Whole Heart Segmentation
|
---|---|
Chapter number | 24 |
Book title |
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-75541-0_24 |
Book ISBNs |
978-3-31-975540-3, 978-3-31-975541-0
|
Authors |
Qianqian Tong, Munan Ning, Weixin Si, Xiangyun Liao, Jing Qin |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 13% |
Student > Ph. D. Student | 4 | 13% |
Researcher | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Student > Postgraduate | 2 | 6% |
Other | 2 | 6% |
Unknown | 15 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 31% |
Engineering | 3 | 9% |
Business, Management and Accounting | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Arts and Humanities | 1 | 3% |
Other | 0 | 0% |
Unknown | 16 | 50% |