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X Demographics
Mendeley readers
Chapter title |
Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels)
|
---|---|
Chapter number | 80 |
Book title |
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-66182-7_80 |
Book ISBNs |
978-3-31-966181-0, 978-3-31-966182-7
|
Authors |
Lin Gu, Yinqiang Zheng, Ryoma Bise, Imari Sato, Nobuaki Imanishi, Sadakazu Aiso |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 18% |
Student > Bachelor | 7 | 18% |
Student > Master | 5 | 13% |
Other | 2 | 5% |
Researcher | 2 | 5% |
Other | 4 | 11% |
Unknown | 11 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 19 | 50% |
Engineering | 6 | 16% |
Unspecified | 1 | 3% |
Unknown | 12 | 32% |