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Support vector clustering algorithm for identification of glaucoma in ophthalmology

Stąpor K.

Bulletin of the Polish Academy of Sciences. Technical Sciences

2006

Vol. 54, nr 1

139-141

This paper presents the improved version of the classification system for supporting glaucoma diagnosis in ophthalmology. In this paper we propose the new segmentation step based on the support vector clustering algorithm which enables better classification performance. Key words: clustering, image segmentation, kernel-based learning, glaucoma.

Kernel K-Means clustering algorithm for identification of glaucoma in ophthalmology

Stapor K., Bruckner A.

Journal of Medical Informatics & Technologies

2005

Vol. 9

167--172

This paper presents the improved version of the classification system for supporting glaucoma diagnosis in ophthalmology, proposed in [4]. In this paper we propose the new segmentation step based on the kernel K-Means clustering algorithm which enable for better classification performance.