Efficient nuclei semantic segmentation in histopathology images: A weakly supervised approach with color and sure-foreground extraction-Reference-Cited by-同舟云学术

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Efficient nuclei semantic segmentation in histopathology images: A weakly supervised approach with color and sure-foreground extraction

Published:2024-12 Issue: Volume:98 Page:106735
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Naing Nyi Nyi,Chen Huazhen,Xia Lili,Gao Zhongke^ORCID,An Jianpeng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference70 articles.

1. Automatic nuclei segmentation in H&E stained breast cancer histopathology images;Veta;PLoS One,2013

2. Improved automatic detection and segmentation of cell nuclei in histopathology images;Al-Kofahi;IEEE Trans. Biomed. Eng.,2009

3. A threshold selection method from gray-level histograms;Otsu;IEEE Trans. Syst. Man Cybern.,1979

4. Segmentation of overlapping/aggregating nuclei cells in biological images;Cloppet,2008

5. Nuclei segmentation in histopathology images using deep neural networks;Naylor,2017

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