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Mendeley readers
Chapter title |
Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization
|
---|---|
Chapter number | 56 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-59710-8_56 |
Book ISBNs |
978-3-03-059709-2, 978-3-03-059710-8
|
Authors |
Minh Nguyen Nhat To, Sandeep Sankineni, Sheng Xu, Baris Turkbey, Peter A. Pinto, Vanessa Moreno, Maria Merino, Bradford J. Wood, Jin Tae Kwak, To, Minh Nguyen Nhat, Sankineni, Sandeep, Xu, Sheng, Turkbey, Baris, Pinto, Peter A., Moreno, Vanessa, Merino, Maria, Wood, Bradford J., Kwak, Jin Tae |
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 > Ph. D. Student | 2 | 29% |
Student > Bachelor | 1 | 14% |
Student > Doctoral Student | 1 | 14% |
Student > Master | 1 | 14% |
Unknown | 2 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 57% |
Business, Management and Accounting | 1 | 14% |
Arts and Humanities | 1 | 14% |
Unknown | 1 | 14% |