Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Springer International Publishing
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X Demographics
Mendeley readers
| Chapter title |
Spatial Attention-Based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains
|
|---|---|
| Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
|
| Published by |
Springer, Cham, September 2021
|
| DOI | 10.1007/978-3-030-87237-3_53 |
| Pubmed ID | |
| Book ISBNs |
978-3-03-087236-6, 978-3-03-087237-3
|
| Authors |
Duanmu, Hongyi, Bhattarai, Shristi, Li, Hongxiao, Cheng, Chia Cheng, Wang, Fusheng, Teodoro, George, Janssen, Emiel A. M., Gogineni, Keerthi, Subhedar, Preeti, Aneja, Ritu, Kong, Jun, Hongyi Duanmu, Shristi Bhattarai, Hongxiao Li, Chia Cheng Cheng, Fusheng Wang, George Teodoro, Emiel A. M. Janssen, Keerthi Gogineni, Preeti Subhedar, Ritu Aneja, Jun Kong |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 23% |
| Student > Bachelor | 1 | 8% |
| Student > Postgraduate | 1 | 8% |
| Student > Master | 1 | 8% |
| Unknown | 7 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 23% |
| Medicine and Dentistry | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 8 | 62% |