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In this paper, we propose a new approach for detecting Buruli ulcer disease automatically based on computerized analysis of multispectral dermoscopic images. We employ optical skin modeling to reconstruct distribution maps of physiological tissue parameters that correlate well with melanin distribution in the epidermis as well as blood volume and blood oxygenation in the dermis. Using 197 sets of...
Buruli ulcer (BU) disease is a devastating flesh-eating bacterial infection that each year affects thousands of people, but if detected early, it can be easily treated and cured. During the past several years, we have been developing an automated dermoscopy system for accurate analysis of skin lesions. In this paper, we describe our experience with BU detection in West Africa, and we focus on the...
Among the most critical components of a computerized system for automated melanoma detection is image sampling and pooling of the extracted features. In this paper, we propose a new method for sampling and pooling based on a combination of spatial pooling and graph theory features. The performance of the new method is evaluated using a dataset of more than 1,500 images representing pigmented skin...
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