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Mendeley readers
Chapter title |
Deep Learning Based Approach for Assessment of Primary Sjögren’s Syndrome from Salivary Gland Ultrasonography Images
|
---|---|
Chapter number | 15 |
Book title |
Computational Bioengineering and Bioinformatics
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-43658-2_15 |
Book ISBNs |
978-3-03-043657-5, 978-3-03-043658-2
|
Authors |
Milos Radovic, Arso Vukicevic, Alen Zabotti, Vera Milic, Salvatore De Vita, Nenad Filipovic, Radovic, Milos, Vukicevic, Arso, Zabotti, Alen, Milic, Vera, De Vita, Salvatore, Filipovic, Nenad |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 50% |
Student > Bachelor | 1 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 50% |
Engineering | 1 | 50% |