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 |
End-to-End Learning for Image-Based Detection of Molecular Alterations in Digital Pathology
|
---|---|
Chapter number | 9 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-16434-7_9 |
Book ISBNs |
978-3-03-116433-0, 978-3-03-116434-7
|
Authors |
Teichmann, Marvin, Aichert, Andre, Bohnenberger, Hanibal, Ströbel, Philipp, Heimann, Tobias |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 13% |
Student > Postgraduate | 1 | 13% |
Unknown | 6 | 75% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 13% |
Physics and Astronomy | 1 | 13% |
Unknown | 6 | 75% |