A computer-implemented method for classifying a biological tissue, comprising: obtaining, at a receiver, a plurality of images of the biological tissue, each image of the plurality of images containing light at a respective wavelength; performing, by a processor, a texture analysis of the biological tissue; detecting presence of biomarkers in the biological tissue at least in part based on the texture analysis; characterized in that the texture analysis generates a texture image derived from features of the biological tissue and comprises: defining a moving window having a j · k · l size, wherein j is a number of the images of the biological tissue, wherein k is a number of pixels of the moving window defined in a first dimension of the images of the biological tissue, and wherein 1 is a number of pixels of the moving window defined in a second dimension of the images of the biological tissue; calculating a matrix using spatial and spectral information of the plurality of images of the biological tissue contained in the moving window, a value of a pixel of the texture image being obtained from the calculation of the matrix, the value of the pixel of the texture image representing a texture feature of the biological tissue within the moving window; successively displacing the moving window by a first predetermined number of pixels in the first dimension of the biological tissue; repeating the calculation of pixel values of the texture image following each displacement of the moving window in the first dimension of the images of the biological tissue; successively displacing the moving window by a second predetermined number of pixels in the second dimension of the images of the biological tissue; and repeating the calculations of pixel values of the texture image and the displacements of the moving window over the first dimension of the images of the biological tissue following each displacement of the moving window over the second dimension of the images of the biological tissue. obtaining, at a receiver, a plurality of images of the biological tissue, each image of the plurality of images containing light at a respective wavelength; performing, by a processor, a texture analysis of the biological tissue; detecting presence of biomarkers in the biological tissue at least in part based on the texture analysis; characterized in that the texture analysis generates a texture image derived from features of the biological tissue and comprises: defining a moving window having a j · k · l size, wherein j is a number of the images of the biological tissue, wherein k is a number of pixels of the moving window defined in a first dimension of the images of the biological tissue, and wherein 1 is a number of pixels of the moving window defined in a second dimension of the images of the biological tissue; calculating a matrix using spatial and spectral information of the plurality of images of the biological tissue contained in the moving window, a value of a pixel of the texture image being obtained from the calculation of the matrix, the value of the pixel of the texture image representing a texture feature of the biological tissue within the moving window; successively displacing the moving window by a first predetermined number of pixels in the first dimension of the biological tissue; repeating the calculation of pixel values of the texture image following each displacement of the moving window in the first dimension of the images of the biological tissue; successively displacing the moving window by a second predetermined number of pixels in the second dimension of the images of the biological tissue; and repeating the calculations of pixel values of the texture image and the displacements of the moving window over the first dimension of the images of the biological tissue following each displacement of the moving window over the second dimension of the images of the biological tissue. defining a moving window having a j · k · l size, wherein j is a number of the images of the biological tissue, wherein k is a number of pixels of the moving window defined in a first dimension of the images of the biological tissue, and wherein 1 is a number of pixels of the moving window defined in a second dimension of the images of the biological tissue; calculating a matrix using spatial and spectral information of the plurality of images of the biological tissue contained in the moving window, a value of a pixel of the texture image being obtained from the calculation of the matrix, the value of the pixel of the texture image representing a texture feature of the biological tissue within the moving window; successively displacing the moving window by a first predetermined number of pixels in the first dimension of the biological tissue; repeating the calculation of pixel values of the texture image following each displacement of the moving window in the first dimension of the images of the biological tissue; successively displacing the moving window by a second predetermined number of pixels in the second dimension of the images of the biological tissue; and repeating the calculations of pixel values of the texture image and the displacements of the moving window over the first dimension of the images of the biological tissue following each displacement of the moving window over the second dimension of the images of the biological tissue.