A Small Example of Lung Segmentation in Medical Image Processing
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In this example, we develop a MATLAB program for lung segmentation in medical images. Lung segmentation is a crucial task in medical image processing, essential for diagnosing and treating pulmonary diseases. Our implementation utilizes advanced algorithms to achieve high-quality segmentation results, which can assist physicians in more accurate diagnosis and improved treatment outcomes. The code incorporates key functions such as image preprocessing, threshold-based region identification, and morphological operations to isolate lung tissues from chest CT scans. Due to its modular design and clear commenting, the program demonstrates excellent extensibility and maintainability, making it easily adaptable to other medical image processing tasks. We hope this example proves valuable for both researchers and practitioners working in medical image analysis.
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