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X Demographics
Mendeley readers
Chapter title |
Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks
|
---|---|
Chapter number | 21 |
Book title |
Interpretable and Annotation-Efficient Learning for Medical Image Computing
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-61166-8_21 |
Book ISBNs |
978-3-03-061165-1, 978-3-03-061166-8
|
Authors |
Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori, Otálora, Sebastian, Marini, Niccolò, Müller, Henning, Atzori, Manfredo |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
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 % |
---|---|---|
Professor | 3 | 10% |
Student > Master | 3 | 10% |
Student > Bachelor | 3 | 10% |
Student > Doctoral Student | 2 | 7% |
Researcher | 2 | 7% |
Other | 6 | 20% |
Unknown | 11 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 20% |
Engineering | 4 | 13% |
Medicine and Dentistry | 2 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Mathematics | 1 | 3% |
Other | 4 | 13% |
Unknown | 12 | 40% |