Selective Search and Intensity Context Based Retina Vessel Image Segmentation-Reference-Cited by-同舟云学术

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Selective Search and Intensity Context Based Retina Vessel Image Segmentation

Published:2017-02-13 Issue:3 Volume:41 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Tang Zhaohui,Zhang Jin^ORCID,Gui Weihua

Funder

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

National Natural Science Foundation of China

Doctoral Scientific Fund Project of the Ministry of Education of China

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10916-017-0696-5.pdf

Reference31 articles.

1. Bhuiyan, A., Nath, B., Ramamohanarao, K., Kawasaki, R., and Wong, T.Y., Automated analysis of retinal vascular tortuosity on color retinal images. J. Med. Syst. 36(2):689–697, 2012.

2. Fraz, M.M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A.R., Owen, C.G., et al., An ensemble classification-based approach applied to retinal blood vessel segmentation. IEEE Trans. Biomed. Eng. 59(9):2538–2548, 2012.

3. Ganjee, R., Azmi, R., and Gholizadeh, B., An Improved Retinal Vessel Segmentation Method Based on High Level Features for Pathological Images. J. Med. Syst. 38(9):1–9, 2014.

4. Rahebi, J., and Hardalaç, F., Retinal Blood Vessel Segmentation with Neural Network by Using Gray-Level Co-Occurrence Matrix-Based Features. J. Med. Syst. 38(8):1–12, 2014.

5. Waheed, A., Akram, M.U., Khalid, S., Waheed, Z., Khan, M.A., and Shaukat, A., Hybrid Features and Mediods Classification based Robust Segmentation of Blood Vessels. J. Med. Syst. 39(10):1–14, 2015.

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