Detection of Haemorrhages in Retinal Images

[1]  Michael H. Goldbaum,et al.  Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels , 2003, IEEE Transactions on Medical Imaging.

[2]  R. C. Tripathi,et al.  Automated Early Detection of Diabetic Retinopathy Using Image Analysis Techniques , 2010 .

[3]  Roberto Hornero,et al.  Automatic detection of red lesions in retinal images using a multilayer perceptron neural network , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  James F. Boyce,et al.  Retinal Blood Vessel Extraction by Using Multi-resolution Matched Filtering and Directional Region Growing Segmentation , 2002, MVA.

[5]  T. Aslam,et al.  A system for computerised retinal haemorrhage analysis , 2009, BMC Research Notes.

[6]  Marios S. Pattichis,et al.  Multiscale AM-FM Methods for Diabetic Retinopathy Lesion Detection , 2010, IEEE Transactions on Medical Imaging.

[7]  Stefan Wesarg,et al.  Segmentation of vessels: the corkscrew algorithm , 2004, SPIE Medical Imaging.

[8]  Radu Matei,et al.  Detection of diabetic symptoms in retinal images using analog algorithms , 2008 .

[9]  Karl-Hans Englmeier,et al.  Early detection of diabetes retinopathy by new algorithms for automatic recognition of vascular changes. , 2004, European journal of medical research.

[10]  Rekha Patil,et al.  Automated Detection and Quantification of Haemorrhages in Diabetic Retinopathy Images Using Image Arithmetic and Mathematical Morphology Methods , 2009 .

[11]  Hamed Sadjedi,et al.  A new method for automatic detection and diagnosis of retinopathy diseases in colour fundus images based on Morphology , 2010, 2010 International Conference on Bioinformatics and Biomedical Technology.

[12]  Jayanthi Sivaswamy,et al.  Vessel Bend-Based Cup Segmentation in Retinal Images , 2010, 2010 20th International Conference on Pattern Recognition.

[13]  Hiroshi Fujita,et al.  Improvement of automatic hemorrhage detection methods using brightness correction on fundus images , 2008, SPIE Medical Imaging.