An image analysis method for tumor classification, the method comprising: - receiving, by an image analysis system, at least one digital image of a tissue sample; - analyzing, by the image analysis system, the at least one received image for identifying immune cells and tumor cells in the at least one received image; - for each of the identified tumor cells, determining, by the image analysis system, the distance of said tumor cell to the nearest immune cell; - computing, by the image analysis system, a proximity measure as a function of the determined distances, wherein the computation of the proximity measure as a function of the determined distances comprises: - identifying a first and a second sub-set of the identified tumor cells, the first sub-set selectively comprising tumor cells whose nearest immune cell is less than a predefined distance away, the second sub-set selectively comprising tumor cells whose nearest immune cell is at least the predefined distance away from the immune cell; - computing a ratio of the number of tumor cells contained in the first subset and the number of tumor cells in the second sub-set; and - using the ratio as the proximity measure, wherein the higher the ratio, the higher the probability that the classification result indicates that the identified tumor cells belong to the inflammatory tumor; - in dependence on the proximity measure, classifying, by the image analysis system, the identified tumor cells into tumor cells of an inflammatory tumor or as tumor cells of a non-inflammatory tumor; and - storing, by the image analysis system, the classification result on a storage medium and/or displaying the classification result on a display device. - receiving, by an image analysis system, at least one digital image of a tissue sample; - analyzing, by the image analysis system, the at least one received image for identifying immune cells and tumor cells in the at least one received image; - for each of the identified tumor cells, determining, by the image analysis system, the distance of said tumor cell to the nearest immune cell; - computing, by the image analysis system, a proximity measure as a function of the determined distances, wherein the computation of the proximity measure as a function of the determined distances comprises: - identifying a first and a second sub-set of the identified tumor cells, the first sub-set selectively comprising tumor cells whose nearest immune cell is less than a predefined distance away, the second sub-set selectively comprising tumor cells whose nearest immune cell is at least the predefined distance away from the immune cell; - computing a ratio of the number of tumor cells contained in the first subset and the number of tumor cells in the second sub-set; and - using the ratio as the proximity measure, wherein the higher the ratio, the higher the probability that the classification result indicates that the identified tumor cells belong to the inflammatory tumor; - identifying a first and a second sub-set of the identified tumor cells, the first sub-set selectively comprising tumor cells whose nearest immune cell is less than a predefined distance away, the second sub-set selectively comprising tumor cells whose nearest immune cell is at least the predefined distance away from the immune cell; - computing a ratio of the number of tumor cells contained in the first subset and the number of tumor cells in the second sub-set; and - using the ratio as the proximity measure, wherein the higher the ratio, the higher the probability that the classification result indicates that the identified tumor cells belong to the inflammatory tumor; - in dependence on the proximity measure, classifying, by the image analysis system, the identified tumor cells into tumor cells of an inflammatory tumor or as tumor cells of a non-inflammatory tumor; and - storing, by the image analysis system, the classification result on a storage medium and/or displaying the classification result on a display device.