Tumor plus adjacent benign signature (TABS) for quantitative histomorphometry

摘要

Methods, apparatus, and other embodiments associated with predicting prostate cancer (CaP) progression using tumor cell morphology features and benign region graph features are described. One example apparatus includes a set of logics that acquires an image of a region of tissue, detects and segments cells in the image, extracts a set of morphological features from cells in a first region in the image, constructs a graph of a localized cellular network in a second region of the image, extracts a set of graph features from the graph, generates a set of tumor plus adjacent features signature (TABS) features from the sets of graph features and the set of morphological features, and calculates the probability that the image is a progressor or non-progressor based, at least in part, on the set of TABS features. The first region may concern cancerous cells and the second region may concern benign cells.