Automatic Cell Detection in Bright-Field Microscope Images Using SIFT, Random Forests, and Hierarchical Clustering (original) (raw)

“…Since the most popular immune cell markers, such as CD3 and CD8 for universal T-cells and cytotoxic T-cells respectively, are membrane markers, the stain appears as a ring instead of a blob. Another machine learning based system using SIFT, Random Forests, and Hierarchical Clustering was developed by Mualla et al in [5] for unstained cell imaging which has the properties of maintaining sufficient contrast of cell boundaries. In this work, the SIFT key-points are classified into cells and backgrounds, and all the key-points within each cell are linked together using hierarchical clustering.…”