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

Ryoichi Koga; Noriaki Hashimoto; Tatsuya Yokota; Masato Nakaguro; Kei Kohno; Shigeo Nakamura; Ichiro Takeuchi; Hidekata Hontani

doi:10.1117/12.2590719

20 April 2021 Detection of DLBCL regions in H&E stained whole slide pathology images using Bayesian U-Net

Ryoichi Koga, Noriaki Hashimoto, Tatsuya Yokota, Masato Nakaguro, Kei Kohno, Shigeo Nakamura, Ichiro Takeuchi, Hidekata Hontani

Author Affiliations +

Proceedings Volume 11792, International Forum on Medical Imaging in Asia 2021; 1179203 (2021) https://doi.org/10.1117/12.2590719
Event: International Forum on Medical Imaging in Asia 2021, 2021, Taipei, Taiwan

Abstract

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.

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Ryoichi Koga, Noriaki Hashimoto, Tatsuya Yokota, Masato Nakaguro, Kei Kohno, Shigeo Nakamura, Ichiro Takeuchi, and Hidekata Hontani "Detection of DLBCL regions in H&E stained whole slide pathology images using Bayesian U-Net", Proc. SPIE 11792, International Forum on Medical Imaging in Asia 2021, 1179203 (20 April 2021); https://doi.org/10.1117/12.2590719

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