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 |
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation
|
---|---|
Chapter number | 51 |
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_51 |
Book ISBNs |
978-3-03-059709-2, 978-3-03-059710-8
|
Authors |
Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng, Zhou, Yanning, Chen, Hao, Lin, Huangjing, Heng, Pheng-Ann |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 71 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 27% |
Student > Master | 10 | 14% |
Researcher | 6 | 8% |
Student > Bachelor | 4 | 6% |
Student > Postgraduate | 3 | 4% |
Other | 3 | 4% |
Unknown | 26 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 32% |
Engineering | 12 | 17% |
Mathematics | 2 | 3% |
Agricultural and Biological Sciences | 1 | 1% |
Arts and Humanities | 1 | 1% |
Other | 2 | 3% |
Unknown | 30 | 42% |