System, method, and computer-accessible medium for generating multi-class models from single-class datasets

Abstract

The exemplary system, method, and computer-accessible medium for generating a multiclass image segmentation model(s) can include receiving multiple single-class image datasets, receiving a target mask for each of the single-class image datasets, receiving a condition of an object associated with each of the single-class image datasets, and generating the multiclass image segmentation model(s) based on the single-class image datasets, the target masks, and the identification of the target objects. The single-class image datasets can include computer tomography images of abdominal organs. The single-class image datasets can be non-overlapping single-class image datasets. The single-class image datasets can include medical imaging datasets or cityscape datasets. The condition can include (i) an identification of a target object associated with each image in each single-class image dataset, (ii) a classification of each image associated with each single-class image dataset or (iii) an identifiable detail regarding each image in each single-class image datasets.