Accurate segmentation of intracellular organelle networks using low-level features and topological self-similarity

Authors

Yuanhao Guo (ORCID: https://orcid.org/0000-0003-4797-1616)
Ge Yang (ORCID: https://orcid.org/0000-0001-6176-3130)
Guole Liu (ORCID: https://orcid.org/0000-0002-1006-6383)
Jiaxing Huang (ORCID: https://orcid.org/0000-0001-9176-8901)
Wenjing Li (ORCID: https://orcid.org/0000-0001-9803-1582)
Zichen Wang (ORCID: https://orcid.org/0000-0003-4512-4085)
Yaoru Luo (ORCID: https://orcid.org/0000-0002-6547-1634)

Institutions

Chinese Academy of Sciences (CN)
Shandong Institute of Automation (CN)
Beijing Academy of Artificial Intelligence (CN)
Institute of Automation (CN)
University of Chinese Academy of Sciences (CN)

Publication Details

Journal: Bioinformatics
Published: 2024-09-20
DOI: https://doi.org/10.1093/bioinformatics/btae559
Citations: 5
Primary Topic: Cell Image Analysis Techniques
Type: article
Field-Weighted Citation Impact: 3.31

Funders

National Natural Science Foundation of China
Chinese Academy of Sciences
Fundamental Research Funds for the Central Universities

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article

Accurate segmentation of intracellular organelle networks using low-level features and topological self-similarity

Yuanhao Guo, Ge Yang, Guole Liu, Jiaxing Huang et al.

Sep 20, 2024

5 citations

Bioinformatics

Cell Image Analysis Techniques

3.31

article

Accurate segmentation of intracellular organelle networks using low-level features and topological self-similarity

Yuanhao Guo, Ge Yang, Guole Liu, Jiaxing Huang, Wenjing Li, Zichen Wang, Yaoru Luo

September 20, 2024article en

5 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 40(10)

Chinese Academy of Sciences (CN), Shandong Institute of Automation (CN), Beijing Academy of Artificial Intelligence (CN), Institute of Automation (CN), University of Chinese Academy of Sciences (CN)

National Natural Science Foundation of China, Chinese Academy of Sciences, Fundamental Research Funds for the Central Universities

Partnerships for the goals

Openalex Percentile: Top 8%

Cell Image Analysis Techniques

3.31

DOI Open Access PDF OpenAlex

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Accurate segmentation of intracellular organelle networks using low-level features and topological self-similarity — Yuanhao Guo, Ge Yang, et al. · Bioinformatics (2024) | TGRS Research Map | TGRS