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 |
Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images
|
---|---|
Chapter number | 29 |
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_29 |
Book ISBNs |
978-3-31-966178-0, 978-3-31-966179-7
|
Authors |
Zongyuan Ge, Sergey Demyanov, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 16% |
Student > Ph. D. Student | 6 | 12% |
Student > Bachelor | 4 | 8% |
Other | 2 | 4% |
Lecturer > Senior Lecturer | 2 | 4% |
Other | 5 | 10% |
Unknown | 22 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 31% |
Engineering | 5 | 10% |
Medicine and Dentistry | 2 | 4% |
Agricultural and Biological Sciences | 1 | 2% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Other | 2 | 4% |
Unknown | 23 | 47% |