Work

Mathematical Techniques for Image Processing - Applications in Medical Imaging

Year: 2025

Type: article

Abstract: Medical image processing plays a vital role in disease detection, particularly for conditions such as tumors. This research explores key mathematical techniques—such as geometric partial differential equations, image segmentation, registration, and smoothing—that form the foundation of modern medical image analysis. These techniques enable efficient tumor localization and classification, especially in MRI data. We demonstrate how these methods improve accuracy, reduce manual labor, and pave the way for intelligent diagnostic systems.

Source: International Journal for Research in Applied Science and Engineering Technology

DOI: 10.22214/ijraset.2025.69298

Author: Linda Joel

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: diamond

OpenAlex ID: W4409764743

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