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

Year: 2025

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15511380

Authors: Hassan, Arslan, Sohail, Rashid, Zubair, Ahmad

Institution: Khwaja Fareed University of Engineering and Information Technology

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6912138759

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