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X Demographics
Mendeley readers
Chapter title |
Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN
|
---|---|
Chapter number | 32 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-59713-9_32 |
Pubmed ID | |
Book ISBNs |
978-3-03-059712-2, 978-3-03-059713-9
|
Authors |
Son Nguyen, Dogan Polat, Paniz Karbasi, Daniel Moser, Liqiang Wang, Keith Hulsey, Murat Can Çobanoğlu, Basak Dogan, Albert Montillo, Nguyen, Son, Polat, Dogan, Karbasi, Paniz, Moser, Daniel, Wang, Liqiang, Hulsey, Keith, Çobanoğlu, Murat Can, Dogan, Basak, Montillo, Albert |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 18% |
Student > Master | 2 | 12% |
Researcher | 2 | 12% |
Professor | 1 | 6% |
Unspecified | 1 | 6% |
Other | 1 | 6% |
Unknown | 7 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 18% |
Engineering | 2 | 12% |
Medicine and Dentistry | 2 | 12% |
Unspecified | 1 | 6% |
Psychology | 1 | 6% |
Other | 0 | 0% |
Unknown | 8 | 47% |