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Mendeley readers
Chapter title |
Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images
|
---|---|
Chapter number | 8 |
Book title |
Medical Image Learning with Limited and Noisy Data
|
Published by |
Springer, Cham, January 2023
|
DOI | 10.1007/978-3-031-44917-8_8 |
Book ISBNs |
978-3-03-147196-4, 978-3-03-144917-8
|
Authors |
Cui, Can, Wang, Yaohong, Bao, Shunxing, Tang, Yucheng, Deng, Ruining, Remedios, Lucas W., Asad, Zuhayr, Roland, Joseph T., Lau, Ken S., Liu, Qi, Coburn, Lori A., Wilson, Keith T., Landman, Bennett A., Huo, Yuankai |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 20% |
Professor > Associate Professor | 1 | 20% |
Lecturer | 1 | 20% |
Unknown | 2 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 40% |
Unknown | 3 | 60% |