Robust Cell Detection of Histopathological Brain Tumor Images Using Sparse Reconstruction and Adaptive Dictionary Selection
Abstract of Robust Cell Detection of Histopathological Brain Tumor Images
In this paper, we have proposed a general, automatic cell detection algorithm using sparse reconstruction with trivial templates and adaptive dictionary learning. By computing the sparse reconstruction with trivial templates, the algorithm is robust and accurate in handling multiple cells (occlusion) in one image patch.
The proposed algorithm works well for different images containing cells exhibiting large variations in appearances and shapes.