Abstract: There is provided a method for quantifying texture features in histological sample from a tumor sample, comprising: receiving a digital image of the histological sample, then dividing the digital image into a plurality of sub-areas, then using a trained machine learning model to predict a presence of at least one biological feature for each of the sub-areas, where a probability for the presence of the biological feature is represented by a value, then forming a data matrix by arranging the values for the probabilities of the biological features in the same way as the sub-areas are arranged in relation to the digital image, then applying image analysis to the data matrix for a set of texture features, to produce a quantification of at least one texture feature.