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Mendeley readers
Chapter title |
MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification
|
---|---|
Chapter number | 5 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
|
Published by |
Springer, Cham, September 2021
|
DOI | 10.1007/978-3-030-87237-3_5 |
Book ISBNs |
978-3-03-087236-6, 978-3-03-087237-3
|
Authors |
Yu, Shuang, Ma, Kai, Bi, Qi, Bian, Cheng, Ning, Munan, He, Nanjun, Li, Yuexiang, Liu, Hanruo, Zheng, Yefeng |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 19% |
Student > Ph. D. Student | 6 | 13% |
Student > Bachelor | 4 | 9% |
Lecturer | 3 | 6% |
Professor | 1 | 2% |
Other | 1 | 2% |
Unknown | 23 | 49% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 32% |
Engineering | 5 | 11% |
Medicine and Dentistry | 3 | 6% |
Physics and Astronomy | 1 | 2% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Other | 2 | 4% |
Unknown | 20 | 43% |