The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Hierarchical retinal blood vessel segmentation based on feature and ensemble learning
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Citations
Cites
Gradient-based learning applied to document recognition
Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998) · Proceedings of the IEEE · doi:10.1109/5.726791 · Cited by 58,805
Ridge-based vessel segmentation in color images of the retina
Staal, J., Abramoff, M. D., Niemeijer, M., Viergever, M. A., & van Ginneken, B. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.825627 · Cited by 4,202
Cited by
Weighted Res-UNet for High-Quality Retina Vessel Segmentation
Xiao, X., Lian, S., Luo, Z., & Li, S. (2018) · 2018 9th International Conference on Information Technology in Medicine and Education (ITME) · doi:10.1109/itme.2018.00080 · Cited by 963
Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics
Moccia, S., De Momi, E., El Hadji, S., & Mattos, L. S. (2018) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2018.02.001 · Cited by 567
Literature review: efficient deep neural networks techniques for medical image analysis
Abdou, M. A. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-06960-9 · Cited by 312
Learning ensemble classifiers for diabetic retinopathy assessment
Saleh, E., Błaszczyński, J., Moreno, A., Valls, A., Romero-Aroca, P., de la Riva-Fernández, S., & Słowiński, R. (2018) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2017.09.006 · Cited by 97
Metadata
- Authors
- Wang, S., Yin, Y., Cao, G., Wei, B., Zheng, Y., & Yang, G.
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 149
- Pages
- 708-717
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2049822456
- Cited by
- 390
- References
- 2
- FWCI
- 12.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Hierarchical retinal blood vessel segmentation based on feature and ensemble learning. https://app.cochat.ai/papers/10.1016/j.neucom.2014.07.059
- The paper
- Wang, S., Yin, Y., Cao, G., Wei, B., Zheng, Y., & Yang, G. (2015). Hierarchical retinal blood vessel segmentation based on feature and ensemble learning. Neurocomputing. https://doi.org/10.1016/j.neucom.2014.07.059
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.
