You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation
|
---|---|
Chapter number | 74 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00928-1_74 |
Book ISBNs |
978-3-03-000927-4, 978-3-03-000928-1
|
Authors |
Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel |
Mendeley readers
The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 217 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 60 | 28% |
Student > Master | 43 | 20% |
Researcher | 19 | 9% |
Student > Bachelor | 14 | 6% |
Student > Doctoral Student | 10 | 5% |
Other | 17 | 8% |
Unknown | 54 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 74 | 34% |
Engineering | 49 | 23% |
Mathematics | 4 | 2% |
Medicine and Dentistry | 4 | 2% |
Neuroscience | 3 | 1% |
Other | 17 | 8% |
Unknown | 66 | 30% |