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Mendeley readers
Chapter title |
U-Net Fixed-Point Quantization for Medical Image Segmentation
|
---|---|
Chapter number | 13 |
Book title |
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-33642-4_13 |
Book ISBNs |
978-3-03-033641-7, 978-3-03-033642-4
|
Authors |
MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, Jean-Pierre David, AskariHemmat, MohammadHossein, Honari, Sina, Rouhier, Lucas, Perone, Christian S., Cohen-Adad, Julien, Savaria, Yvon, David, Jean-Pierre |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 55 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 16% |
Student > Master | 9 | 16% |
Other | 6 | 11% |
Researcher | 3 | 5% |
Student > Doctoral Student | 3 | 5% |
Other | 6 | 11% |
Unknown | 19 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 33% |
Engineering | 9 | 16% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Immunology and Microbiology | 1 | 2% |
Mathematics | 1 | 2% |
Other | 2 | 4% |
Unknown | 23 | 42% |