Rodrigo Rojas-Moraleda

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The basis for a robust and accurate quantification is the segmentation of regions of interest (ROIs) defined by different histopathologic features. Several kinds of problems arise in ROIs segmentation of histopathologic images due to diverse factors such as: nonstationary and correlated noise, illumination, busyness of gray levels within the object and its(More)
The segmentation of cell nuclei is an important step towards the automated analysis of histological images. The presence of a large number of nuclei in whole-slide images necessitates methods that are computationally tractable in addition to being effective. In this work, a method is developed for the robust segmentation of cell nuclei in histological(More)
Imaging spectroscopy integrates conventional imaging and spectroscopy to attain both spatial and spectral information from an object. Processing and analysis of a hypercube can be a hard task. Robust methods for hyperspectral data classification are required, insensitive to imaging deficiencies and high input dimension. Mushrooms have a thin and porous(More)
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