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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…
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Robust Edge-Stop Functions for Edge-Based Active Contour Models in Medical Image Segmentation
My paper titled “Robust Edge-Stop Functions (ESF) for Edge-Based Active Contour Models in Medical Image Segmentation” was just accepted in the IEEE Signal Processing Letters (SPL). The paper is one of my Ph.D. works and going to be a chapter for my thesis. The IEEE SPL ranks among the Q1 journals based on The SCImago…