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X Demographics
Mendeley readers
Chapter title |
Learning to Segment When Experts Disagree
|
---|---|
Chapter number | 18 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-59710-8_18 |
Book ISBNs |
978-3-03-059709-2, 978-3-03-059710-8
|
Authors |
Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander, Zhang, L, Tanno, R, Bronik, K, Jin, C, Nachev, P, Barkhof, F, Ciccarelli, O, Alexander, DC, Zhang, Le, Tanno, Ryutaro, Bronik, Kevin, Jin, Chen, Nachev, Parashkev, Barkhof, Frederik, Ciccarelli, Olga, Alexander, Daniel C. |
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 % |
---|---|---|
Unknown | 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 33% |
Student > Master | 4 | 13% |
Researcher | 3 | 10% |
Student > Bachelor | 1 | 3% |
Lecturer | 1 | 3% |
Other | 2 | 7% |
Unknown | 9 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 50% |
Engineering | 2 | 7% |
Mathematics | 1 | 3% |
Chemical Engineering | 1 | 3% |
Unknown | 11 | 37% |