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| Chapter title |
Breast Cancer Risk Analysis Based on a Novel Segmentation Framework for Digital Mammograms
|
|---|---|
| Chapter number | 67 |
| Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
|
| Published in |
Lecture notes in computer science, September 2014
|
| DOI | 10.1007/978-3-319-10404-1_67 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-910403-4, 978-3-31-910404-1
|
| Authors |
Xin Chen, Emmanouil Moschidis, Chris Taylor, Susan Astley |
| Editors |
Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| India | 1 | 2% |
| Unknown | 40 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 21% |
| Researcher | 7 | 17% |
| Other | 4 | 10% |
| Professor | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 8 | 19% |
| Unknown | 8 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 19% |
| Engineering | 7 | 17% |
| Computer Science | 6 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Economics, Econometrics and Finance | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 11 | 26% |