Image Segmentation tool

     This interactive image segmentation tool allows users to annotate medical images by placing points and connecting them with lines to form an overlay segmentation. The tool dynamically updates in real-time, ensuring an intuitive experience where users can refine their selections, undo mistakes, and create precise outlines of anatomical structures. On the right side of the interface, an example image demonstrates how the segmentation appears when applied to a medical scan, providing users with immediate visual feedback. Additionally, the tool includes an export function that converts the segmentation into an STL file, enabling further analysis or 3D modeling of the outlined regions.
     I developed this tool as a preliminary project to my Chest X-Ray research at UNE, to look for avenues of research while honing my skills. Building this tool required proficiency in JavaScript, particularly working with the GoJS library to handle interactive diagrams and event-driven user interactions.  Additionally, I developed an algorithm to dynamically update the segmentation model while efficiently managing data structures for real-time adjustments.
     Beyond front-end development, this project highlights my ability to work with 3D file formats, specifically STL generation. I designed an algorithm to convert 2D segmentation points into structured STL data, incorporating facets and vertex calculations to ensure proper formatting. This required knowledge of computational geometry and file handling techniques, demonstrating my capability in working with 3D modeling concepts and practical applications in medical imaging.