Blood clot and fibrin recognition method for serum images based on deep learning

CONCLUSIONS: The improved UNeXt segmentation network rapidly and accurately segmented and recognized blood clots and fibrins in serum images, which provided an accurate basis for the sampling height of the sampling needle in the automated biochemical and immunological assembly line.PMID:38128814 | DOI:10.1016/j.cca.2023.117732

Source: International Journal of Clinical Chemistry - December 21, 2023 Category: Chemistry Authors: Jianping Hou Weihong Ren Wanli Zhao Hang Li Mengnan Liu Hailuan Wang Yirui Duan Chao Wang Cong Liu Source Type: research