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Mendeley readers
Chapter title |
DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy
|
---|---|
Chapter number | 16 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32226-7_16 |
Book ISBNs |
978-3-03-032225-0, 978-3-03-032226-7
|
Authors |
Yuting He, Guanyu Yang, Yang Chen, Youyong Kong, Jiasong Wu, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger, Pengfei Shao, Shaobo Zhang, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li, He, Yuting, Yang, Guanyu, Chen, Yang, Kong, Youyong, Wu, Jiasong, Tang, Lijun, Zhu, Xiaomei, Dillenseger, Jean-Louis, Shao, Pengfei, Zhang, Shaobo, Shu, Huazhong, Coatrieux, Jean-Louis, Li, Shuo |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 33% |
Student > Master | 3 | 8% |
Student > Postgraduate | 2 | 6% |
Researcher | 2 | 6% |
Professor | 1 | 3% |
Other | 1 | 3% |
Unknown | 15 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 36% |
Engineering | 3 | 8% |
Nursing and Health Professions | 1 | 3% |
Chemical Engineering | 1 | 3% |
Unknown | 18 | 50% |