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Mendeley readers
Chapter title |
An Automated CNN-based 3D Anatomical Landmark Detection Method to Facilitate Surface-Based 3D Facial Shape Analysis
|
---|---|
Chapter number | 17 |
Book title |
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32689-0_17 |
Book ISBNs |
978-3-03-032688-3, 978-3-03-032689-0
|
Authors |
Ruobing Huang, Michael Suttie, J. Alison Noble, Huang, Ruobing, Suttie, Michael, Noble, J. Alison |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 4 | 36% |
Researcher | 2 | 18% |
Student > Bachelor | 2 | 18% |
Other | 1 | 9% |
Librarian | 1 | 9% |
Other | 0 | 0% |
Unknown | 1 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 27% |
Nursing and Health Professions | 2 | 18% |
Mathematics | 1 | 9% |
Social Sciences | 1 | 9% |
Computer Science | 1 | 9% |
Other | 2 | 18% |
Unknown | 1 | 9% |