Silvio M. Pereira

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We present color image processing methods for the analysis of images of dermatological lesions. The intended application is classification and analysis of the tissue composition of skin lesions or ulcers, in terms of granulation (red), fibrin (yellow), necrotic (black), callous (white), and mixed tissue composition. The images were analyzed and classified(More)
Chronic wounds, lesions, or ulcers due to venous insufficiency and other conditions typically have a nonuniform mixture of red granulation, yellow fibrin (slough), black necrotic eschar (scar), and white hyperkeratotic tissue (callous). Such a red-yellow-black-white (RYKW) model is used by clinicians as a descriptive tool. To facilitate the analysis of the(More)
Cancer gene therapy requires the design of non-viral vectors that carry genetic material and selectively deliver it with minimal toxicity. Non-viral vectors based on cationic natural polymers can form electrostatic complexes with negatively-charged polynucleotides such as microRNAs (miRNAs). Here we investigated the physicochemical/biophysical properties of(More)
We present color image processing methods for the analysis of images of dermatological lesions. The focus of this study is on the application of feature extraction and selection methods for classification and analysis of the tissue composition of skin lesions or ulcers, in terms of granulation (red), fibrin (yellow), necrotic (black), callous (white), and(More)
Capsaicin has known pharmacological effects including the ability to reversibly open cellular tight junctions, among others. The aim of this study was to develop a strategy to enhance the paracellular transport of a substance with low permeability (FITC-dextran) across an epithelial cell monolayer via reversible opening of cellular tight junctions using a(More)
objective Work as part of a team on meaningful and important projects, while leveraging my machine learning and data mining expertise. Broaden my knowledge in new application domains. Thesis: Utilizing Ultrametric Properties, Projections and Entropy in Data Mining Description: Conducted research on ultrametrics, ultrametricity and their influence on(More)
We present color image processing methods for the characterization of images of dermatological lesions for the purpose of content-based image retrieval (CBIR) and computer-aided diagnosis. The intended application is to segment the images and perform classification and analysis of the tissue composition of skin lesions or ulcers, in terms of granulation(More)
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