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This paper presents a system for the automatic processing of digital images obtained from gel electrophoresis. The system identifies automatically the number and the location of lanes in the digital image, as well as the location of bands on each lane, without any intervention from the user. A reference lane with a know substance is used to compute the molecular weight of the observed (unknown) bands...
In this paper, we propose and evaluate six methods for the segmentation of skin lesions in dermoscopic images. This set includes some state of the art techniques which have been successfully used in many medical imaging problems (gradient vector flow (GVF) and the level set method of Chan et al.[(C-LS)]. It also includes a set of methods developed by the authors which were tailored to this particular...
Dermoscopy is a non-invasive diagnostic technique for the in vivo observation of pigmented skin lesions used in dermatology. There is currently a great interest in the prospects of automatic image analysis methods for dermoscopy, both to provide quantitative information about a lesion, which can be of relevance for the clinician, and as a stand alone early warning tool. The effective implementation...
A Bayesian segmentation approach for hyperspectral images is introduced in this paper. The method improves the classification performance of discriminative classifiers by adding contextual information in the form of spatial dependencies. The technique herein presented builds the class densities based on fast sparse multinomial logistic regression and enforces spacial continuity by adopting a multi-level...
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