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The `fuzzy co-clustering algorithm for images (FCCI)' technique has been successfully applied to colour segmentation of medical images. The goal of this work is to extend this technique by the inclusion of texture features as a clustering parameter for detecting blotches in skin lesions based on colour information. The objective function is optimized using the bacterial foraging algorithm which gives...
This paper proposes two efficient approaches for automatic detection and extraction of Exudates and Optic disk in ocular fundus images. The localization of optic disk is composed of three steps. First the centre of optic disk is estimated by finding a point that has maximum local variance. The color morphology in Lab space is used to have homogeneous optic disk region. The boundary of the optic disk...
Clustered microcalcification is an important signal for breast cancer in the early stages. In this paper, we propose a multiple kernel SVM with group features (GF-SVM) to tackle problems associated with heterogeneous features of clustered microcalcification and normal breast tissues in suspicious regions. Specifically, different types of features such as being gradient, geometric and textural are...
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