Optimized segmentation of overlapping cervical cells based on Mask2Former and denoising

Abstract Cell instances segmentation in cervical cytology images have crucial importance for cancer screening and automatic biomedical image analysis. However, that the highly overlapping cells cause ambiguous boundaries makes accurate cell segmentation still a challenging task. This paper proposes...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Baocan Zhang, Wei Zhao, Chenxi Huang, Quan Lan, Weihong Lu
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-05-01
Subjects:	Mask2Former Denoising Overlapping cervical cells Noised masks ISBI
Online Access:	https://doi.org/10.1038/s41598-025-02379-z