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 |
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
|
---|---|
Chapter number | 22 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32226-7_22 |
Book ISBNs |
978-3-03-032225-0, 978-3-03-032226-7
|
Authors |
Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers, Yan, Ke, Tang, Youbao, Peng, Yifan, Sandfort, Veit, Bagheri, Mohammadhadi, Lu, Zhiyong, Summers, Ronald M. |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 98 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 14% |
Student > Master | 13 | 13% |
Researcher | 12 | 12% |
Student > Bachelor | 8 | 8% |
Professor | 4 | 4% |
Other | 14 | 14% |
Unknown | 33 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 33 | 34% |
Engineering | 9 | 9% |
Unspecified | 2 | 2% |
Nursing and Health Professions | 1 | 1% |
Agricultural and Biological Sciences | 1 | 1% |
Other | 10 | 10% |
Unknown | 42 | 43% |