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Mendeley readers
Chapter title |
Computer-Aided Diagnosis Method for Detecting Early Esophageal Cancer from Endoscopic Image by Using Dyadic Wavelet Transform and Fractal Dimension
|
---|---|
Chapter number | 80 |
Book title |
Information Technology: New Generations
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-32467-8_80 |
Book ISBNs |
978-3-31-932466-1, 978-3-31-932467-8
|
Authors |
Ryuji Ohura, Hajime Omura, Yasuhisa Sakata, Teruya Minamoto |
Editors |
Shahram Latifi |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 1 | 14% |
Unknown | 6 | 86% |
Readers by discipline | Count | As % |
---|---|---|
Unknown | 7 | 100% |