An Approach to Detect Hard Exudates Using Normalized Cut Image Segmentation Technique in Digital Retinal Fundus Image
暂无分享,去创建一个
[1] Alireza Osareh,et al. A Computational-Intelligence-Based Approach for Detection of Exudates in Diabetic Retinopathy Images , 2009, IEEE Transactions on Information Technology in Biomedicine.
[2] R. Hornero,et al. Feature Extraction and Selection for the Automatic Detection of Hard Exudates in Retinal Images , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[3] D. DeMets,et al. The Wisconsin epidemiologic study of diabetic retinopathy. II. Prevalence and risk of diabetic retinopathy when age at diagnosis is less than 30 years. , 1984, Archives of ophthalmology.
[4] Pascale Massin,et al. A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in color fundus images of the human retina , 2002, IEEE Transactions on Medical Imaging.
[5] Anurag Mittal,et al. Automated feature extraction for early detection of diabetic retinopathy in fundus images , 2009, CVPR.
[6] Chanjira Sinthanayothin,et al. Automated screening system for diabetic retinopathy , 2003, 3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the.
[7] V. Chandrasekaran,et al. A Novel Integrated Approach Using Dynamic Thresholding and Edge Detection (IDTED) for Automatic Detection of Exudates in Digital Fundus Retinal Images , 2007, 2007 International Conference on Computing: Theory and Applications (ICCTA'07).
[8] N J Wareham. Cost-Effectiveness of Alternative Methods for Diabetic Retinopathy Screening , 1993, Diabetes Care.
[9] Huiqi Li,et al. A model-based approach for automated feature extraction in fundus images , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.