Gradation of Diabetic Retinopathy Using KNN Classifier by Morphological Segmentation of Retinal Vessels-Reference-Cited by-同舟云学术

Gradation of Diabetic Retinopathy Using KNN Classifier by Morphological Segmentation of Retinal Vessels

Published:2017-12-28 Issue: Volume: Page:189-198
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Bandyopadhyay Shreyasi,Choudhury Sabarna,Latib S. K.,Kole Dipak Kumar,Giri Chandan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-5272-9_18

Reference13 articles.

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2. Palomera-Pérez, M.A., M.E. Martinez-Perez, H. Benítez-Pérez, and J.L. Ortega-Arjona. 2010. Parallel Multiscale Feature Extraction and Region Growing: Application in Retinal Blood Vessel Detection. IEEE Transactions on Information Technology in Biomedicine 14 (2): 500–506.

3. Martinez-Perez M.E., A.D. Hughes, A.V. Stanton, S.A. Thom, N. Chapman, and A.A. Bharath. Retinal Vascular Tree Morphology: A Semi-automatic Quantification. IEEE Transactions on Biomedical Engineering.

4. Chanwimaluang T, and G. Fan. An Efficient Algorithm for Extraction of Anatomical Structures in Retinal Images. In Image Processing. International Conference. Barcelona, Spain.

5. Gao, X.W., A. Bharath, A. Stanton, A. Hughes, N. Chapman, and S. Thom. 2000. Quantification and Characterisation of Arteries in Retinal Images. Comput Methods Programs Biomed.

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