MATLAB Segmentation of CT Scan Slices

This MATLAB-based segmentation program enables precise organ segmentation in CT scan slice images. The program takes CT scan images as input and performs sophisticated image segmentation using MATLAB's Image Processing Toolbox. Image segmentation is a crucial process that partitions digital images into multiple meaningful regions or objects to facilitate detailed analysis and interpretation of image contents. The implementation utilizes a combination of preprocessing techniques, edge detection algorithms, and region-based segmentation methods to accurately delineate organ boundaries in CT scans. Key functions employed include image filtering for noise reduction, thresholding techniques for initial segmentation, and morphological operations for refining the organ boundaries. The program may incorporate watershed algorithms or active contour models for more complex segmentation tasks, ensuring precise isolation of anatomical structures. This segmentation tool provides significant value in medical diagnosis and research by enabling healthcare professionals and researchers to clearly identify and study internal organ structures. The accurate organ segmentation enhances diagnostic precision and research efficiency, contributing to improved medical outcomes and advancing anatomical studies. The MATLAB implementation offers flexibility for customization and optimization based on specific organ characteristics and imaging conditions.