Abstract: Exemplary method, computer-accessible medium and system can be provided for determining the presence or absence of a local and/or global property of a biological tissue sample. Thus, it is possible to obtain at least one image of the sample, search the image(s) for a presence of at least one particular feature that is contained in a pre-defined set of features, and assign, to the particular feature(s). It is possible to compute, with a computer processor, at least one discriminant value that is a function of the pronunciation index that is weighted with a particular weight. The weight of each pronunciation index is a measure for a relevance of the corresponding feature with respect to the property. It is possible to determine whether the property is present in at least one part of the biological tissue sample depending on whether the discriminant value exceeds a pre-defined threshold and/or and optimized threshold.

Abstract: Exemplary method, computer-accessible medium and system can be provided for determining the presence or absence of a local and/or global property of a biological tissue sample. Thus, it is possible to obtain at least one image of the sample, search the image(s) for a presence of at least one particular feature that is contained in a pre-defined set of features, and assign, to the particular feature(s). It is possible to compute, with a computer processor, at least one discriminant value that is a function of the pronunciation index that is weighted with a particular weight. The weight of each pronunciation index is a measure for a relevance of the corresponding feature with respect to the property. It is possible to determine whether the property is present in at least one part of the biological tissue sample depending on whether the discriminant value exceeds a pre-defined threshold and/or and optimized threshold.