1. A method for detecting a probability of a biomarker in a tissue of a patient based on generating a probability map, the method comprising: determining, by an imaging system, a dimension of a moving window from a subset of tissue samples stored within a big data database; determining, by the imaging system, a width of a computation voxel based upon the dimension of the moving window, wherein the computation voxel is a unit of the probability map that is obtained from an image of the tissue of the patient; moving, by the imaging system, the moving window across the image in a predetermined direction at fixed intervals, wherein the computation voxel is contained within a number of stops of the moving window; obtaining, by the imaging system, multiple measures of multiple imaging parameters for every stop of the moving window on the image, wherein two neighboring ones of the stops of the moving window are partially overlapped with each other; obtaining, by the imaging system, multiple first probabilities of the biomarker for the stops of the moving window by matching the multiple measures of the multiple imaging parameters to a classifier defined from the big data database; obtaining, by the imaging system, multiple second probabilities of the biomarker for the computation voxel based on information associated with the first probabilities to obtain the probability map; and determining the probability of the biomarker in the tissue of the patient at the computation voxel from the probability map, wherein the biomarker provides an indication of an event.