Optimization of Segmentation Model Based on Maximization Information Fusion and Its Application in Nuclear Image Analysis

Nuclear segmentation

Authors

  • hy h

Keywords:

Nuclear segmentation

Abstract

The Whole Slide Image (WSI) is a pathological image with Hematoxylin & Eosin staining. The low-contrast color staining will bring a challenge on analysis. We propose SNSeg (Staining Nuclear Segmentation) to improve the segmentation performance in WSI, for obtaining accurate nuclear region.

References

[1] Naruenatthanaset K, Chalidabhongse T H, Palasuwan D, et al. Red Blood Cell Segmentation with Overlapping Cell Separation and Classification on Imbalanced Dataset[J]. arXiv preprint arXiv:2012.01321, 2020.

[2] An F P, Liu J. Medical image segmentation algorithm based on multilayer boundary perception-self attention deep learning model[J]. Multimedia Tools and Applications, 2021, 80(10): 15017-15039.

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Published

2026-03-16

How to Cite

h, hy. (2026). Optimization of Segmentation Model Based on Maximization Information Fusion and Its Application in Nuclear Image Analysis: Nuclear segmentation. Journaldemo, 6(1), 1–10. Retrieved from https://www.ingegneriasismicaojs.com/index.php/jam/article/view/1

Issue

Vol. 6 No. 1 (2026)

Section

Articles