Fundus Images Enhancement Using Gravitational Force and Lateral Inhibition Network for Blood Vessel Detection
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-91103-4_12
Reference18 articles.
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2. Wong, T. Y., & McIntosh, R. (2005). Hypertensive retinopathy signs as risk indicators of cardiovascular morbidity and mortality. British Medical Bulletin, 73(1), 57–70.
3. Porwal, P., Pachade, S., Kokare, M., Deshmukh, G., & Sahasrabuddhe, V. (2018). Automatic retinal image analysis to detect diabetic retinopathy. Biomedical signal and image processing in patient care (pp. 146–61). IGI Global.
4. Furtado, P., Travassos, C., Monteiro, R., Oliveira, S., Baptista, C., & Carrilho, F. (2017). “Segmentation of Eye Fundus Images by density clustering in diabetic retinopathy. IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) 2017, 25–28.
5. Franklin, S. W., & Rajan, S. E. (2014). Computerized screening of diabetic retinopathy employing blood vessel segmentation in retinal images. Biocybernetics and Biomedical Engineering, 34(2), 117–124.
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