The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Blood vessel segmentation methodologies in retinal images – A survey
Open accessAbstract
Retinal vessel segmentation algorithms are a fundamental component of automatic retinal disease screening systems. This work examines the blood vessel segmentation methodologies in two dimensional retinal images acquired from a fundus camera and a survey of techniques is presented. The aim of this paper is to review, analyze and categorize the retinal vessel extraction algorithms, techniques and methodologies, giving a brief description, highlighting the key points and the performance measures. We intend to give the reader a framework for the existing research; to introduce the range of retinal vessel segmentation algorithms; to discuss the current trends and future directions and summarize the open problems. The performance of algorithms is compared and analyzed on two publicly available databases (DRIVE and STARE) of retinal images using a number of measures which include accuracy, true positive rate, false positive rate, sensitivity, specificity and area under receiver operating characteristic (ROC) curve.
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Citations
Cites
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
Zhao, Y., Rada, L., Chen, K., Harding, S. P., & Zheng, Y. (2015) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2015.2409024 · Cited by 391
Gihedan, A. (2021) · Scientific Journal for the Faculty of Science-Sirte University · doi:10.37375/sjfssu.v1i1.74
Metadata
- Authors
- Fraz, M. M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A. R., Owen, C. G., & Barman, S. A.
- Venue
- Computer Methods and Programs in Biomedicine
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 108
- Issue
- 1
- Pages
- 407-433
- ISSN
- 0169-2607 (ISSN-L)
- OpenAlex
- W2045227075
- Cited by
- 1,001
- References
- 1
- FWCI
- 39.83
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Fraz, M. M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A. R., Owen, C. G., & Barman, S. A. (2012). Blood vessel segmentation methodologies in retinal images – A survey. Computer Methods and Programs in Biomedicine. https://doi.org/10.1016/j.cmpb.2012.03.009
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