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X Demographics
Mendeley readers
Chapter title |
Multi-task Learning for Detection and Classification of Cancer in Screening Mammography
|
---|---|
Chapter number | 24 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-59725-2_24 |
Book ISBNs |
978-3-03-059724-5, 978-3-03-059725-2
|
Authors |
Maria V. Sainz de Cea, Karl Diedrich, Ran Bakalo, Lior Ness, David Richmond, Sainz de Cea, Maria V., Diedrich, Karl, Bakalo, Ran, Ness, Lior, Richmond, David |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 15% |
Student > Bachelor | 2 | 10% |
Student > Ph. D. Student | 2 | 10% |
Other | 1 | 5% |
Researcher | 1 | 5% |
Other | 0 | 0% |
Unknown | 11 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 20% |
Medicine and Dentistry | 2 | 10% |
Nursing and Health Professions | 1 | 5% |
Mathematics | 1 | 5% |
Unknown | 12 | 60% |