Medical image processing involves analyzing and enhancing medical images (e.g., X-rays, MRIs, CT scans) using computational techniques to aid diagnosis and treatment. It includes tasks like noise reduction, segmentation, and feature extraction, enabling early disease detection and improved patient care.

Medical image processing is a specialized field that focuses on analyzing, enhancing, and interpreting medical images such as X-rays, MRIs, CT scans, and ultrasounds using advanced computational techniques. It involves tasks like noise reduction, image segmentation, feature extraction, and 3D reconstruction to improve the clarity and usability of medical data. By leveraging machine learning and computer vision, it aids in early disease detection, accurate diagnosis, and treatment planning, enabling healthcare professionals to identify abnormalities like tumors, fractures, or organ dysfunction with greater precision. This technology plays a critical role in modern medicine, improving patient outcomes, reducing diagnostic errors, and supporting personalized healthcare solutions.