Spleen Tissue Segmentation Algorithm for Cryo-Imaging Data.

ABSTRACT: Spleen tissue segmentation is an essential process for analyzing various immunological diseases as observed in the cryo-imaging data. Because manual labeling of the spleen tissue by human experts is not efficient, an automatic segmentation algorithm is needed. In this study, we developed a novel algorithm for automatically segmenting spleen substructures including white pulp and red pulp for the first time. The algorithm is designed for datasets created by a cryo-imaging system. This unique technology can effectively enable cellular tracking anywhere in the whole mouse with single-cell sensitivity. The proposed algorithm consists of four components: initial spleen mask creation, feature extraction, Supervised Patch-based Fuzzy c-Mean (spFCM) classification, and post-processing. The algorit

SUBMITTER: Wuttisarnwattana P 

PROVIDER: S-EPMC10039202 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature