To provide a method and
system that segment one or more histological structures in a tissue image represented by multi- parameter cellular and
intracellular imaging data.SOLUTION: A method of segmenting one or more histological structures in a tissue image represented by multi-parameter cellular and
intracellular imaging data includes: receiving coarsest level image data on a tissue image, in which the coarsest level image data corresponds to the coarsest level of a multiscale representation of first data corresponding to the multi-parameter cellular and
intracellular imaging data; further dividing the coarsest level image data into a plurality of non-overlapping superpixels; assigning, to each superpixel, a probability belonging to the one or more histological structures using some pre-trained
machine learning algorithms to create a probability map; extracting an
estimation boundary of the one or more histological structures by applying a contour
algorithm to the probability map; and generating an accurate boundary of the one or more histological structures using the
estimation boundary.SELECTED DRAWING: Figure 1