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Mendeley readers
Chapter title |
Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-supervised Learning and Dual-UNet
|
---|---|
Chapter number | 63 |
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_63 |
Book ISBNs |
978-3-03-059709-2, 978-3-03-059710-8
|
Authors |
Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With, Yang, Hongxu, Shan, Caifeng, Kolen, Alexander F., With, Peter H. N. de |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 18% |
Student > Master | 4 | 14% |
Student > Doctoral Student | 2 | 7% |
Professor | 1 | 4% |
Librarian | 1 | 4% |
Other | 2 | 7% |
Unknown | 13 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 32% |
Agricultural and Biological Sciences | 1 | 4% |
Arts and Humanities | 1 | 4% |
Energy | 1 | 4% |
Engineering | 1 | 4% |
Other | 0 | 0% |
Unknown | 15 | 54% |