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Mendeley readers
Chapter title |
Hybrid Classification Approach of Malignant and Benign Pulmonary Nodules Based on Topological and Histogram Features
|
---|---|
Chapter number | 30 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000
|
Published by |
Springer, Berlin, Heidelberg, October 2000
|
DOI | 10.1007/978-3-540-40899-4_30 |
Book ISBNs |
978-3-54-041189-5, 978-3-54-040899-4
|
Authors |
Y. Kawata, N. Niki, H. Ohmatsu, M. Kusumoto, R. Kakinuma, K. Mori, H. Nishiyama, K. Eguchi, M. Kaneko, N. Moriyama |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 33% |
Student > Postgraduate | 1 | 33% |
Student > Master | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 67% |
Unknown | 1 | 33% |