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Mendeley readers
| Chapter title |
Automated Recognition of Erector Spinae Muscles and Their Skeletal Attachment Region via Deep Learning in Torso CT Images
|
|---|---|
| Chapter number | 1 |
| Book title |
Computational Methods and Clinical Applications in Musculoskeletal Imaging
|
| Published by |
Springer, Cham, September 2018
|
| DOI | 10.1007/978-3-030-11166-3_1 |
| Book ISBNs |
978-3-03-011165-6, 978-3-03-011166-3
|
| Authors |
Naoki Kamiya, Masanori Kume, Guoyan Zheng, Xiangrong Zhou, Hiroki Kato, Huayue Chen, Chisako Muramatsu, Takeshi Hara, Toshiharu Miyoshi, Masayuki Matsuo, Hiroshi Fujita, Kamiya, Naoki, Kume, Masanori, Zheng, Guoyan, Zhou, Xiangrong, Kato, Hiroki, Chen, Huayue, Muramatsu, Chisako, Hara, Takeshi, Miyoshi, Toshiharu, Matsuo, Masayuki, Fujita, Hiroshi |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 20% |
| Professor > Associate Professor | 3 | 20% |
| Researcher | 3 | 20% |
| Student > Doctoral Student | 2 | 13% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 20% |
| Medicine and Dentistry | 3 | 20% |
| Computer Science | 2 | 13% |
| Nursing and Health Professions | 1 | 7% |
| Unknown | 6 | 40% |