Automated Image Processing System for Early and Accurate Disease Detection in Medical Imaging

Medical imaging has revolutionized modern healthcare by enabling non-invasive visualization of internal body structures. Techniques such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Ultrasound, and X-rays are indispensable for diagnosing diseases such as tumors, lesions, infections, and vascular abnormalities. Despite their importance, medical images often suffer from noise, artifacts, low resolution, and contrast issues, potentially leading to misdiagnosis or delayed treatment.