Image analysis involves several steps: 1. Image Acquisition: High-quality images are captured using various medical imaging techniques. 2. Preprocessing: This step involves improving image quality by reducing noise and enhancing contrast. 3. Segmentation: The image is divided into different regions to isolate the area of interest, such as a tumor. 4. Feature Extraction: Quantitative features like shape, texture, and intensity are extracted from the segmented regions. 5. Classification: Machine learning algorithms classify the extracted features to differentiate between benign and malignant tissues.
