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Mendeley readers
Chapter title |
Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data
|
---|---|
Chapter number | 24 |
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_24 |
Book ISBNs |
978-3-03-059712-2, 978-3-03-059713-9
|
Authors |
Hongyi Duanmu, Pauline Boning Huang, Srinidhi Brahmavar, Stephanie Lin, Thomas Ren, Jun Kong, Fusheng Wang, Tim Q. Duong, Duanmu, Hongyi, Huang, Pauline Boning, Brahmavar, Srinidhi, Lin, Stephanie, Ren, Thomas, Kong, Jun, Wang, Fusheng, Duong, Tim Q. |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 32% |
Student > Bachelor | 3 | 7% |
Student > Master | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Student > Postgraduate | 2 | 5% |
Other | 4 | 10% |
Unknown | 14 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 17% |
Medicine and Dentistry | 5 | 12% |
Engineering | 3 | 7% |
Physics and Astronomy | 2 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 1 | 2% |
Unknown | 22 | 54% |