Lung Cancer Detection using Image Processing

Medical research relies heavily on image processing tools, especially when it comes to early cancer diagnosis. The application of Gaussian rules and Gabor filters emphasizes image quality and improves photographs. The region of interest is further refined through segmentation, which serves as the foundation for feature extraction. Pixel percentage and binarizing are essential components for precise image comparison and are essential for effectively assessing medical pictures.