You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography
|
---|---|
Chapter number | 21 |
Book title |
Deep Learning and Data Labeling for Medical Applications
|
Published in |
Lecture notes in computer science, September 2016
|
DOI | 10.1007/978-3-319-46976-8_21 |
Book ISBNs |
978-3-31-946975-1, 978-3-31-946976-8
|
Authors |
Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Hasoul, Rami Ben-Ari, Ella Barkan, Akselrod-Ballin, Ayelet, Karlinsky, Leonid, Alpert, Sharon, Hasoul, Sharbell, Ben-Ari, Rami, Barkan, Ella |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 96 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 27 | 28% |
Student > Master | 14 | 15% |
Researcher | 12 | 13% |
Student > Bachelor | 6 | 6% |
Other | 4 | 4% |
Other | 10 | 10% |
Unknown | 23 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 36 | 38% |
Engineering | 16 | 17% |
Agricultural and Biological Sciences | 3 | 3% |
Medicine and Dentistry | 3 | 3% |
Biochemistry, Genetics and Molecular Biology | 2 | 2% |
Other | 9 | 9% |
Unknown | 27 | 28% |