The DOI matches its Crossref record.
Learning to Detect Cells Using Non-overlapping Extremal Regions
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Citations
Cited by
Sirinukunwattana, K., Raza, S. E. A., Tsang, Y.-W., Snead, D. R. J., Cree, I. A., & Rajpoot, N. M. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2525803 · Cited by 1,224
Breast Cancer Histopathology Image Analysis: A Review
Veta, M., Pluim, J. P. W., van Diest, P. J., & Viergever, M. A. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2303852 · Cited by 696
An Automatic Learning-Based Framework for Robust Nucleus Segmentation
Xing, F., Xie, Y., & Yang, L. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2015.2481436 · Cited by 351
Metadata
- Authors
- Arteta, C., Lempitsky, V., Noble, J. A., & Zisserman, A.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2012
- Volume
- 15
- Issue
- Pt 1
- Pages
- 348-356
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1945243521
- Cited by
- 177
- References
- 0
- FWCI
- 37.44
- Type
- conference paper
- Language
- en
- Open access
- bronze
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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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Learning to Detect Cells Using Non-overlapping Extremal Regions. https://app.cochat.ai/papers/10.1007/978-3-642-33415-3_43
- The paper
- Arteta, C., Lempitsky, V., Noble, J. A., & Zisserman, A. (2012). Learning to Detect Cells Using Non-overlapping Extremal Regions. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-33415-3_43
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.
