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Mendeley readers
Chapter title |
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
|
---|---|
Chapter number | 99 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00934-2_99 |
Book ISBNs |
978-3-03-000933-5, 978-3-03-000934-2
|
Authors |
Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald Weaver, Joann G. Elmore, Linda Shapiro |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 189 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 51 | 27% |
Student > Master | 26 | 14% |
Researcher | 18 | 10% |
Student > Bachelor | 15 | 8% |
Student > Doctoral Student | 4 | 2% |
Other | 18 | 10% |
Unknown | 57 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 67 | 35% |
Engineering | 40 | 21% |
Medicine and Dentistry | 6 | 3% |
Biochemistry, Genetics and Molecular Biology | 3 | 2% |
Neuroscience | 3 | 2% |
Other | 7 | 4% |
Unknown | 63 | 33% |