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X Demographics
Mendeley readers
Chapter title |
Foveation for Segmentation of Mega-Pixel Histology Images
|
---|---|
Chapter number | 54 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-59722-1_54 |
Book ISBNs |
978-3-03-059721-4, 978-3-03-059722-1
|
Authors |
Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander, Jin, C, Tanno, R, Xu, M, Mertzanidou, T, Alexander, DC, Jin, Chen, Tanno, Ryutaro, Xu, Moucheng, Mertzanidou, Thomy, 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 1 | 11% |
Researcher | 1 | 11% |
Student > Doctoral Student | 1 | 11% |
Student > Master | 1 | 11% |
Unknown | 5 | 56% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 22% |
Engineering | 1 | 11% |
Unknown | 6 | 67% |