Nuclei segmentation of fluorescence microscopy images based on midpoint analysis and marked point process
Neeraj J. Gadgil, Paul Salama, Kenneth William Dunn, Edward J. Delp · 2016
Microscope image analysis is challenging because of non-uniform brightness, decreasing image contrast with tissue depth, poor edge details and irregular and unknown structures. In this paper, we present a nuclei segmentation and counting method using midpoint analysis, shape-based function optimization and a MPP simulation with a spatial birth-death process. Preliminary results demonstrate efficacy of the proposed method.