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Mendeley readers
Chapter title |
Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning
|
---|---|
Chapter number | 68 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00934-2_68 |
Book ISBNs |
978-3-03-000933-5, 978-3-03-000934-2
|
Authors |
Hayato Itoh, Holger R. Roth, Le Lu, Masahiro Oda, Masashi Misawa, Yuichi Mori, Shin-ei Kudo, Kensaku Mori |
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 % |
---|---|---|
Researcher | 6 | 17% |
Student > Master | 5 | 14% |
Student > Ph. D. Student | 4 | 11% |
Student > Bachelor | 3 | 8% |
Student > Doctoral Student | 1 | 3% |
Other | 3 | 8% |
Unknown | 14 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 10 | 28% |
Computer Science | 8 | 22% |
Medicine and Dentistry | 3 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Unknown | 14 | 39% |