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Mendeley readers
Chapter title |
A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model
|
---|---|
Chapter number | 67 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
|
Published by |
Springer, Berlin, Heidelberg, September 2011
|
DOI | 10.1007/978-3-642-23626-6_67 |
Book ISBNs |
978-3-64-223625-9, 978-3-64-223626-6
|
Authors |
Ahmed B. Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Michael Feldman, Mark Rosen, Despina Kontos |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 7% |
Switzerland | 1 | 2% |
Unknown | 42 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 37% |
Researcher | 13 | 28% |
Student > Doctoral Student | 2 | 4% |
Professor | 2 | 4% |
Student > Master | 2 | 4% |
Other | 4 | 9% |
Unknown | 6 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 11 | 24% |
Computer Science | 10 | 22% |
Medicine and Dentistry | 8 | 17% |
Agricultural and Biological Sciences | 3 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 5 | 11% |
Unknown | 8 | 17% |