The DOI matches its Crossref record; 116 of the 116 references it cites were found in a registry or an index.
A review of automatic mass detection and segmentation in mammographic images
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Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Book Review: Pattern Recognition and Machine Learning
Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 22,066
A decision-theoretic generalization of on-line learning and an application to boosting
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(2012) · Encyclopedia of the Sciences of Learning · doi:10.1007/978-1-4419-1428-6_5195 · Cited by 19,370
Rapid object detection using a boosted cascade of simple features
Viola, P., & Jones, M. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 · doi:10.1109/cvpr.2001.990517 · Cited by 18,300
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Medical image analysis: progress over two decades and the challenges ahead
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Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome
O'Connor, J. P. B., Rose, C. J., Waterton, J. C., Carano, R. A. D., Parker, G. J. M., & Jackson, A. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-0990 · Cited by 677
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
Houssein, E. H., Emam, M. M., Ali, A. A., & Suganthan, P. N. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.114161 · Cited by 404
A deep learning approach for the analysis of masses in mammograms with minimal user intervention
Dhungel, N., Carneiro, G., & Bradley, A. P. (2017) · Medical Image Analysis · doi:10.1016/j.media.2017.01.009 · Cited by 336
Improving Breast Cancer Detection Using Symmetry Information with Deep Learning
Brhane Hagos, Y., Gubern Mérida, A., & Teuwen, J. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-00946-5_10 · Cited by 27
Metadata
- Authors
- Oliver, A., Freixenet, J., Martí, J., Pérez, E., Pont, J., Denton, E. R. E., & Zwiggelaar, R.
- Venue
- Medical Image Analysis
- Publisher
- Elsevier BV
- Published
- 2010-04
- Volume
- 14
- Issue
- 2
- Pages
- 87-110
- ISSN
- 1361-8415 (ISSN-L)
- OpenAlex
- W1972626213
- Cited by
- 398
- References
- 116
- FWCI
- 18.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Oliver, A., Freixenet, J., Martí, J., Pérez, E., Pont, J., Denton, E. R. E., & Zwiggelaar, R. (2010). A review of automatic mass detection and segmentation in mammographic images. Medical Image Analysis. https://doi.org/10.1016/j.media.2009.12.005
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
