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 Comparative Study of Modern Machine Learning Approaches for Focal Lesion Detection and Classification in Medical Images: BoVW, CNN and MTANN
|
---|---|
Chapter number | 2 |
Book title |
Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
|
Published by |
Springer, Cham, January 2018
|
DOI | 10.1007/978-3-319-68843-5_2 |
Book ISBNs |
978-3-31-968842-8, 978-3-31-968843-5
|
Authors |
Nima Tajbakhsh, Kenji Suzuki |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 47% |
Professor > Associate Professor | 2 | 11% |
Student > Master | 2 | 11% |
Lecturer > Senior Lecturer | 1 | 5% |
Student > Bachelor | 1 | 5% |
Other | 2 | 11% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 37% |
Medicine and Dentistry | 3 | 16% |
Computer Science | 3 | 16% |
Unknown | 6 | 32% |