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 |
BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images
|
---|---|
Chapter number | 26 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00934-2_26 |
Book ISBNs |
978-3-03-000933-5, 978-3-03-000934-2
|
Authors |
Hirohisa Oda, Holger R. Roth, Kosuke Chiba, Jure Sokolić, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Julia A. Schnabel, Kensaku Mori |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 24% |
Student > Master | 5 | 10% |
Student > Bachelor | 4 | 8% |
Other | 3 | 6% |
Researcher | 2 | 4% |
Other | 5 | 10% |
Unknown | 18 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 19 | 39% |
Engineering | 7 | 14% |
Medicine and Dentistry | 2 | 4% |
Agricultural and Biological Sciences | 1 | 2% |
Nursing and Health Professions | 1 | 2% |
Other | 1 | 2% |
Unknown | 18 | 37% |