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Mendeley readers
Chapter title |
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification
|
---|---|
Chapter number | 18 |
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_18 |
Book ISBNs |
978-3-03-061165-1, 978-3-03-061166-8
|
Authors |
Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M Rajpoot, Bashir, Raja Muhammad Saad, Qaiser, Talha, Raza, Shan E Ahmed, Rajpoot, Nasir M |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 23% |
Researcher | 2 | 15% |
Student > Ph. D. Student | 2 | 15% |
Professor | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Other | 0 | 0% |
Unknown | 4 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 31% |
Engineering | 3 | 23% |
Biochemistry, Genetics and Molecular Biology | 1 | 8% |
Unknown | 5 | 38% |