1. Image analysis method for providing information for enabling determination of a phenotype of a neoplasm in a human or animal body for enabling prognostication, comprising the steps of: receiving, by a processing unit, image data of the neoplasm; and deriving, by the processing unit, a plurality of image feature parameter values from the image data, said image parameter values relating to image features associated with the neoplasm; and deriving, by said processing unit using a signature model, one or more neoplasm signature model values associated with the neoplasm from said image feature parameter values, wherein said signature model includes a functional relation between or characteristic values of said image feature parameter values for deriving said neoplasm signature model values therefrom; wherein the image feature parameter values are indicative of image feature parameters, wherein the signature model includes at least all of the image feature parameters from a group comprising: gray-level non-uniformity, and wavelet high-low-high gray-level run-length gray-level non-uniformity.