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Mendeley readers
Chapter title |
Attaining Human-Level Performance with Atlas Location Autocontext for Anatomical Landmark Detection in 3D CT Data
|
---|---|
Chapter number | 34 |
Book title |
Computer Vision – ECCV 2018 Workshops
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-11015-4_34 |
Book ISBNs |
978-3-03-011014-7, 978-3-03-011015-4
|
Authors |
Alison Q. O’Neil, Antanas Kascenas, Joseph Henry, Daniel Wyeth, Matthew Shepherd, Erin Beveridge, Lauren Clunie, Carrie Sansom, Evelina Šeduikytė, Keith Muir, Ian Poole, O’Neil, Alison Q., Kascenas, Antanas, Henry, Joseph, Wyeth, Daniel, Shepherd, Matthew, Beveridge, Erin, Clunie, Lauren, Sansom, Carrie, Šeduikytė, Evelina, Muir, Keith, Poole, Ian |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 19% |
Researcher | 8 | 17% |
Student > Master | 4 | 8% |
Unspecified | 3 | 6% |
Student > Doctoral Student | 2 | 4% |
Other | 8 | 17% |
Unknown | 14 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 29% |
Engineering | 8 | 17% |
Unspecified | 3 | 6% |
Physics and Astronomy | 3 | 6% |
Medicine and Dentistry | 2 | 4% |
Other | 4 | 8% |
Unknown | 14 | 29% |