Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Springer International Publishing
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Mendeley readers
| Chapter title |
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
|
|---|---|
| Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
|
| Published by |
Springer, Cham, September 2021
|
| DOI | 10.1007/978-3-030-87199-4_16 |
| Book ISBNs |
978-3-03-087198-7, 978-3-03-087199-4
|
| Authors |
Xie, Yutong, Zhang, Jianpeng, Shen, Chunhua, Xia, Yong |
Mendeley readers
The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 236 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 14% |
| Student > Master | 26 | 11% |
| Researcher | 15 | 6% |
| Student > Bachelor | 11 | 5% |
| Other | 7 | 3% |
| Other | 21 | 9% |
| Unknown | 124 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 63 | 27% |
| Engineering | 26 | 11% |
| Unspecified | 4 | 2% |
| Medicine and Dentistry | 4 | 2% |
| Agricultural and Biological Sciences | 2 | <1% |
| Other | 4 | 2% |
| Unknown | 133 | 56% |