Enhancing tumor visualization through 3D Slicer-based segmentation and MATLAB-based image enhancement

Accurate visualization of any pathology plays a crucial role in medical diagnosis and treatment planning, especially when a tumor is involved. In this document, we present a comprehensive approach for enhancing tumor visualization by integrating the capabilities of 3D Slicer-based segmentation and MATLAB-based image enhancement techniques. The proposed methodology leverages the strengths of both software tools to achieve improved accuracy and quality in tumor segmentation and subsequent image enhancement. The slicer software is utilized for precise tumor segmentation, enabling the extraction of tumor regions from medical imaging data, in this case a tomography study. Subsequently, the programming environment algorithms are applied to enhance the tumor visualization by improving contrast, reducing noise, and refining details to generate a sharper image. The synergistic combination of this two software facilitates a more refined and accurate analysis of tumor regions, aiding in the understanding and interpretation of medical images, going from a 2D point of view to a 3D model allows a better surgical planning to approach the patient Experimental results demonstrate the efficacy of the proposed approach, showcasing enhanced tumor visualization with improved clarity and diagnostic value. The integration of slicer-based segmentation and MATLAB enhancement techniques holds great promise in advancing tumor analysis and assisting clinicians in making informed decisions for patient care.