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 |
Hierarchical Feature Extraction for Nuclear Morphometry-Based Cancer Diagnosis
|
---|---|
Chapter number | 23 |
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_23 |
Book ISBNs |
978-3-31-946975-1, 978-3-31-946976-8
|
Authors |
Chi Liu, Yue Huang, Ligong Han, John A. Ozolek, Gustavo K. Rohde, Liu, Chi, Huang, Yue, Han, Ligong, Ozolek, John A., Rohde, Gustavo K. |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 23% |
Researcher | 2 | 15% |
Student > Bachelor | 2 | 15% |
Lecturer | 1 | 8% |
Student > Master | 1 | 8% |
Other | 1 | 8% |
Unknown | 3 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 23% |
Computer Science | 2 | 15% |
Medicine and Dentistry | 2 | 15% |
Psychology | 1 | 8% |
Energy | 1 | 8% |
Other | 0 | 0% |
Unknown | 4 | 31% |