Month: February 2016

  • Vocal Cord Segmentation from CT Images using Machine Learning

    Vocal cord segmentation from CT images is difficult because of poor image contrast and unclear boundaries. In many cases, there are regions with very weak signals and ill-defined boundaries, particularly in connective tissues. To overcome this problem, a framework to segment regions of interest using machine learning is proposed. Feature extraction is used to represent…