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 |
Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images
|
---|---|
Chapter number | 11 |
Book title |
Understanding and Interpreting Machine Learning in Medical Image Computing Applications
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-02628-8_11 |
Book ISBNs |
978-3-03-002627-1, 978-3-03-002628-8
|
Authors |
Noel C. F. Codella, Chung-Ching Lin, Allan Halpern, Michael Hind, Rogerio Feris, John R. Smith, Codella, Noel C. F., Lin, Chung-Ching, Halpern, Allan, Hind, Michael, Feris, Rogerio, Smith, John R. |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 52 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 21% |
Researcher | 6 | 12% |
Student > Master | 6 | 12% |
Student > Doctoral Student | 5 | 10% |
Professor | 2 | 4% |
Other | 5 | 10% |
Unknown | 17 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 33% |
Engineering | 5 | 10% |
Business, Management and Accounting | 3 | 6% |
Medicine and Dentistry | 3 | 6% |
Design | 2 | 4% |
Other | 4 | 8% |
Unknown | 18 | 35% |