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Mendeley readers
Chapter title |
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database
|
---|---|
Chapter number | 17 |
Book title |
Deep Learning and Convolutional Neural Networks for Medical Image Computing
|
Published by |
Springer, Cham, January 2017
|
DOI | 10.1007/978-3-319-42999-1_17 |
Book ISBNs |
978-3-31-942998-4, 978-3-31-942999-1
|
Authors |
Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald Summers |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | <1% |
Pakistan | 1 | <1% |
Unknown | 105 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 26% |
Student > Master | 19 | 18% |
Researcher | 14 | 13% |
Student > Doctoral Student | 9 | 8% |
Student > Postgraduate | 6 | 6% |
Other | 15 | 14% |
Unknown | 16 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 56 | 52% |
Engineering | 15 | 14% |
Medicine and Dentistry | 6 | 6% |
Business, Management and Accounting | 2 | 2% |
Linguistics | 1 | <1% |
Other | 7 | 7% |
Unknown | 20 | 19% |