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X Demographics
Mendeley readers
Chapter title |
TGANet: Text-Guided Attention for Improved Polyp Segmentation
|
---|---|
Chapter number | 15 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-16437-8_15 |
Pubmed ID | |
Book ISBNs |
978-3-03-116436-1, 978-3-03-116437-8
|
Authors |
Tomar, Nikhil Kumar, Jha, Debesh, Bagci, Ulas, Ali, Sharib |
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 % |
---|---|---|
Nepal | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 33% |
Scientists | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 12% |
Professor | 2 | 8% |
Student > Bachelor | 1 | 4% |
Other | 1 | 4% |
Student > Postgraduate | 1 | 4% |
Other | 0 | 0% |
Unknown | 17 | 68% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 20% |
Engineering | 3 | 12% |
Nursing and Health Professions | 1 | 4% |
Unknown | 16 | 64% |