Detection of DLBCL regions in H&E stained whole slide pathology images using Bayesian U-Net

We proposed a method that detects DLBCL (Diffuse Large B-Cell Lymphoma) regions from a H&E stained whole slide pathology image by measuring the size of each nucleus. It is known that DLBCL cells would have about 2 to 3 times larger nuclei than typical lymphocytes. One can hence detect DLBCL regions by detecting every cell nucleus in a given H&E stained pathology image and describing the spatial distribution of the large nuclei. For the detection of cell nuclei, we employ a U-Net and a Bayesian U-Net. We describe the details of the proposed method and report the experimental results, which demonstrate the proposed method works well in the DLBCL regions.