You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Globally optimal tumor segmentation in PET-CT images: a graph-based co-segmentation method.
|
---|---|
Chapter number | 21 |
Book title |
Information Processing in Medical Imaging
|
Published in |
Information processing in medical imaging proceedings of the conference, July 2011
|
DOI | 10.1007/978-3-642-22092-0_21 |
Pubmed ID | |
Book ISBNs |
978-3-64-222091-3, 978-3-64-222092-0
|
Authors |
Han D, Bayouth J, Song Q, Taurani A, Sonka M, Buatti J, Wu X, Dongfeng Han, John Bayouth, Qi Song, Aakant Taurani, Milan Sonka, John Buatti, Xiaodong Wu |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
United Kingdom | 1 | 1% |
Switzerland | 1 | 1% |
Denmark | 1 | 1% |
Canada | 1 | 1% |
Unknown | 67 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 27% |
Researcher | 14 | 19% |
Student > Master | 8 | 11% |
Student > Postgraduate | 4 | 5% |
Student > Bachelor | 4 | 5% |
Other | 9 | 12% |
Unknown | 14 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 32% |
Engineering | 14 | 19% |
Medicine and Dentistry | 10 | 14% |
Nursing and Health Professions | 2 | 3% |
Physics and Astronomy | 2 | 3% |
Other | 5 | 7% |
Unknown | 17 | 23% |