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Mendeley readers
Chapter title |
The Automated Learning of Deep Features for Breast Mass Classification from Mammograms
|
---|---|
Chapter number | 13 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
|
Published in |
Lecture notes in computer science, October 2016
|
DOI | 10.1007/978-3-319-46723-8_13 |
Book ISBNs |
978-3-31-946722-1, 978-3-31-946723-8
|
Authors |
Dhungel, Neeraj, Carneiro, Gustavo, Bradley, Andrew P., Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 120 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 23% |
Student > Master | 18 | 15% |
Researcher | 15 | 13% |
Student > Bachelor | 12 | 10% |
Student > Doctoral Student | 5 | 4% |
Other | 16 | 13% |
Unknown | 26 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 55 | 46% |
Engineering | 16 | 13% |
Medicine and Dentistry | 8 | 7% |
Agricultural and Biological Sciences | 2 | 2% |
Mathematics | 2 | 2% |
Other | 6 | 5% |
Unknown | 31 | 26% |