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Mendeley readers
Chapter title |
Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning
|
---|---|
Chapter number | 68 |
Book title |
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-66179-7_68 |
Book ISBNs |
978-3-31-966178-0, 978-3-31-966179-7
|
Authors |
Guy Amit, Omer Hadad, Sharon Alpert, Tal Tlusty, Yaniv Gur, Rami Ben-Ari, Sharbell Hashoul |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 29% |
Researcher | 5 | 21% |
Student > Ph. D. Student | 5 | 21% |
Student > Bachelor | 2 | 8% |
Lecturer > Senior Lecturer | 1 | 4% |
Other | 1 | 4% |
Unknown | 3 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 9 | 38% |
Computer Science | 6 | 25% |
Agricultural and Biological Sciences | 3 | 13% |
Medicine and Dentistry | 2 | 8% |
Nursing and Health Professions | 1 | 4% |
Other | 0 | 0% |
Unknown | 3 | 13% |