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2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
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Cited by
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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
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
A comparative study of deep learning architectures on melanoma detection
Hosseinzadeh Kassani, S., & Hosseinzadeh Kassani, P. (2019) · Tissue and Cell · doi:10.1016/j.tice.2019.04.009 · Cited by 253
Metadata
- Publisher
- IEEE
- Published
- 2015
- OpenAlex
- W4300113236
- Cited by
- 255
- References
- 0
- Type
- paratext
- 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: 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI). https://app.cochat.ai/papers/10.1109/isbi21167.2015
- The paper
- 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI). (2015). https://doi.org/10.1109/isbi21167.2015
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.