Abstract: Methods for non-invasive or minimally invasive assessment of epithelial tissue structure are disclosed. Digital imaging and processing are used to identify cell locations. More specifically, an automated algorithm that may be used to identify epithelial tissue structure, and/or to specify the coordinates/locations of cells in the epithelial tissue structure, through non-invasive or minimally invasive imaging, and use of this information to extract values of epithelial structure related parameters are disclosed.

Abstract: A method is described for determining a value for quantifying a deviation from a mean value of a distribution of the divergence in severity between an initial instant and a later instant subsequent to the initial incident.

Abstract: A method is described for determining a value for quantifying the deviation from a mean value of a distribution of a divergence in severity between an initial instant and a later instant subsequent to the initial instant.

Abstract: A device for analyzing a hyper-spectral image, comprising at least one sensor able to produce a series of images in at least two wavelengths, a calculation means able to class the pixels of an image according to a two-state classing relation, the image being received from a sensor, and a display means able to display at least one image resulting from the processing of the data received from the calculation means. The calculation means comprises: a means for determining training pixels receiving data from a sensor, a means for calculating a projection pursuit able to effect an automatic division of the spectrum of the hyper-spectral image, and a means for producing a large-margin separation. The calculation means is able to produce data in which the classed pixels are distinguishable.

Abstract: The invention relates to a device for adjusting the raised pattern of at least one hyper-spectral image including at least one sensor capable of producing at least one hyper-spectral image in at least two wavelengths, a computing means capable of classifying the pixels of the hyper-spectral image derived from the sensor on the basis of a two-state classification relationship, and a display means capable of displaying at least one image on the basis of the classified pixels from the computing means. The computing means includes a means for adjusting the raised pattern on the basis of at least one reference image.