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Mendeley readers
Chapter title |
SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor Segmentation
|
---|---|
Chapter number | 60 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2020
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-61609-0_60 |
Book ISBNs |
978-3-03-061608-3, 978-3-03-061609-0
|
Authors |
Liping Yi, Jinsong Zhang, Rui Zhang, Jiaqi Shi, Gang Wang, Xiaoguang Liu, Yi, Liping, Zhang, Jinsong, Zhang, Rui, Shi, Jiaqi, Wang, Gang, Liu, Xiaoguang |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 22% |
Researcher | 2 | 6% |
Student > Master | 2 | 6% |
Lecturer > Senior Lecturer | 1 | 3% |
Lecturer | 1 | 3% |
Other | 4 | 13% |
Unknown | 15 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 28% |
Engineering | 4 | 13% |
Unspecified | 1 | 3% |
Unknown | 18 | 56% |