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Mendeley readers
Chapter title |
SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation
|
---|---|
Chapter number | 77 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-59719-1_77 |
Book ISBNs |
978-3-03-059718-4, 978-3-03-059719-1
|
Authors |
Jesse Sun, Fatemeh Darbehani, Mark Zaidi, Bo Wang, Sun, Jesse, Darbehani, Fatemeh, Zaidi, Mark, Wang, Bo |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 144 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 21 | 15% |
Researcher | 18 | 13% |
Student > Ph. D. Student | 16 | 11% |
Student > Bachelor | 11 | 8% |
Other | 6 | 4% |
Other | 17 | 12% |
Unknown | 55 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 45 | 31% |
Engineering | 24 | 17% |
Physics and Astronomy | 4 | 3% |
Medicine and Dentistry | 2 | 1% |
Neuroscience | 2 | 1% |
Other | 3 | 2% |
Unknown | 64 | 44% |