The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images
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Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
A Threshold Selection Method from Gray-Level Histograms
Otsu, N. (1979) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1979.4310076 · Cited by 43,398
Lecture Notes in Computer Science 1205
(1999) · Industrial Robot: An International Journal · doi:10.1108/ir.1999.04926fae.001 · Cited by 38,662
Classification and Regression Trees.
Gordon, A. D., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984) · Biometrics · doi:10.2307/2530946 · Cited by 23,522
Textural Features for Image Classification
Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1973.4309314 · Cited by 22,886
Book Review: Pattern Recognition and Machine Learning
Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 22,066
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 20,825
(2012) · Encyclopedia of the Sciences of Learning · doi:10.1007/978-1-4419-1428-6_5195 · Cited by 19,370
Nearest neighbor pattern classification
Cover, T., & Hart, P. (1967) · IEEE Transactions on Information Theory · doi:10.1109/tit.1967.1053964 · Cited by 16,936
Least squares quantization in PCM
Lloyd, S. (1982) · IEEE Transactions on Information Theory · doi:10.1109/tit.1982.1056489 · Cited by 15,836
Cited by
Classification of breast cancer histology images using Convolutional Neural Networks
Araújo, T., Aresta, G., Castro, E., Rouco, J., Aguiar, P., Eloy, C., Polónia, A., & Campilho, A. (2017) · PLOS ONE · doi:10.1371/journal.pone.0177544 · Cited by 1,013
Khan, S., Islam, N., Jan, Z., Ud Din, I., & Rodrigues, J. J. P. C. (2019) · Pattern Recognition Letters · doi:10.1016/j.patrec.2019.03.022 · Cited by 785
Classification of Breast Cancer Based on Histology Images Using Convolutional Neural Networks
Bardou, D., Zhang, K., & Ahmad, S. M. (2018) · IEEE Access · doi:10.1109/access.2018.2831280 · Cited by 414
Yassin, N. I. R., Omran, S., El Houby, E. M. F., & Allam, H. (2018) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2017.12.012 · Cited by 386
Deep features for breast cancer histopathological image classification
Spanhol, F. A., Oliveira, L. S., Cavalin, P. R., Petitjean, C., & Heutte, L. (2017) · 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) · doi:10.1109/smc.2017.8122889 · Cited by 316
Metadata
- Authors
- Kowal, M., Filipczuk, P., Obuchowicz, A., Korbicz, J., & Monczak, R.
- Venue
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 43
- Issue
- 10
- Pages
- 1563-1572
- ISSN
- 0010-4825 (ISSN-L)
- OpenAlex
- W2056499382
- Cited by
- 274
- References
- 36
- FWCI
- 8.47
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images. https://app.cochat.ai/papers/10.1016/j.compbiomed.2013.08.003
- The paper
- Kowal, M., Filipczuk, P., Obuchowicz, A., Korbicz, J., & Monczak, R. (2013). Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2013.08.003
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.
