Automated algorithms typically involve several steps: - Image Acquisition: High-resolution images of tissue samples are obtained using digital pathology techniques. - Preprocessing: Images are preprocessed to enhance quality and remove noise. - Segmentation: Tissue components (e.g., cells, nuclei) are segmented from the background. - Feature Extraction: Quantitative features such as shape, size, and texture are extracted from the segmented components. - Classification: Machine learning models classify the extracted features to identify pathological conditions.
