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Mendeley readers
Chapter title |
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
|
---|---|
Chapter number | 1 |
Book title |
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00889-5_1 |
Pubmed ID | |
Book ISBNs |
978-3-03-000888-8, 978-3-03-000889-5
|
Authors |
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang, Zhou, Zongwei, Rahman Siddiquee, Md Mahfuzur, Tajbakhsh, Nima, Liang, Jianming |
Mendeley readers
The data shown below were compiled from readership statistics for 2,289 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2289 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 322 | 14% |
Student > Master | 285 | 12% |
Student > Bachelor | 174 | 8% |
Researcher | 167 | 7% |
Student > Doctoral Student | 69 | 3% |
Other | 199 | 9% |
Unknown | 1073 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 600 | 26% |
Engineering | 302 | 13% |
Medicine and Dentistry | 45 | 2% |
Physics and Astronomy | 35 | 2% |
Earth and Planetary Sciences | 31 | 1% |
Other | 138 | 6% |
Unknown | 1138 | 50% |