An Intelligent Model for Blood Vessel Segmentation in Diagnosing DR Using CNN-Reference-Cited by-同舟云学术

An Intelligent Model for Blood Vessel Segmentation in Diagnosing DR Using CNN

Published:2018-08-15 Issue:10 Volume:42 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Sangeethaa S. N.,Uma Maheswari P.

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/article/10.1007/s10916-018-1030-6/fulltext.html

Reference20 articles.

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2. Priya, R., and Aruna, P., SVM and neural network based diagnosis of diabetic retinopathy. Int. J. Comput. Appl. 41(1):6–12, 2012.

3. Lim, G., Lee, M. L., Hsu, W., and Wong, T. Y., Transformed representations for convolutional neural networks in diabetic retinopathy screening. Québec City: AAAI Workshop on Modern Artificial Intelligence for Health Analytics (MAIHA), 2014.

4. Roychowdhury, S., Koozekanani, D. D., and Parhi, K. K., DREAM: Diabetic retinopathy analysis using machine learning. IEEE Journal of Biomedical and Health Informatics 18(5):1717–1728.

5. Singh, R., Dubey, S., and Mittal, U. Blood vessel segmentation and microaneurysm detection for diabetic retinopathy. retina-features/README.md, 2017.

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