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Mendeley readers
Chapter title |
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References
|
---|---|
Chapter number | 37 |
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_37 |
Book ISBNs |
978-3-31-966178-0, 978-3-31-966179-7
|
Authors |
Zizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 97 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 24% |
Student > Master | 13 | 13% |
Researcher | 9 | 9% |
Student > Bachelor | 5 | 5% |
Professor > Associate Professor | 5 | 5% |
Other | 16 | 16% |
Unknown | 26 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 44 | 45% |
Engineering | 11 | 11% |
Agricultural and Biological Sciences | 2 | 2% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
Biochemistry, Genetics and Molecular Biology | 1 | 1% |
Other | 7 | 7% |
Unknown | 31 | 32% |