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A New Approach for Touching Cells Segmentation

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-60298-4_263openalex-snapshot
A new plant cell image segmentation algorithm
inferredcites →https://doi.org/10.1023/b:visi.0000022288.19776.77openalex-snapshot
Efficient Graph-Based Image Segmentation
inferredcites →https://doi.org/10.1109/isbi.2007.356792openalex-snapshot
SEGMENTATION OF TOUCHING CELLS USING GRADIENT FLOW TRACKING
inferredcites →https://doi.org/10.1109/isimp.2004.1434018openalex-snapshot
A new approach to separating touching spots in particle images
inferredcites →https://doi.org/10.1109/tsmc.1979.4310076openalex-snapshot
A Threshold Selection Method from Gray-Level Histograms

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-642-41914-0_24openalex-snapshot
Pressure Based Segmentation in Volumetric Images
inferred← citeshttps://doi.org/10.1007/s11704-013-3130-2openalex-snapshot
Splitting touching cells based on concave-point and improved watershed algorithms
inferred← citeshttps://doi.org/10.1093/bioinformatics/btq194openalex-snapshot
A spectral graph theoretic approach to quantification and calibration of collective morphological differences in cell images
inferred← citeshttps://doi.org/10.1109/infop.2015.7489435openalex-snapshot
Blood cell segmentation from microscopic blood images
inferred← citeshttps://doi.org/10.1109/iscit.2012.6380864openalex-snapshot
Worm egg segmentation based centroid detection in low contrast image
inferred← citeshttps://doi.org/10.1109/sai.2016.7555997openalex-snapshot
A trichotomie technique to separate overlapped nuclei in microscopic cancer images
inferred← citeshttps://doi.org/10.1109/tbme.2010.2060486openalex-snapshot
Unsupervised Segmentation of Overlapped Nuclei Using Bayesian Classification
inferred← citeshttps://doi.org/10.1109/tbme.2011.2179298openalex-snapshot
Robust Segmentation of Overlapping Cells in Histopathology Specimens Using Parallel Seed Detection and Repulsive Level Set
inferred← citeshttps://doi.org/10.1109/wisa.2011.33openalex-snapshot
Clustering-Based Touching-Cells Division
inferred← citeshttps://doi.org/10.1111/jmi.12090openalex-snapshot
Automated image segmentation of haematoxylin and eosin stained skeletal muscle cross‐sections
inferred← citeshttps://doi.org/10.1145/3514495openalex-snapshot
Automated Analysis of Blood Smear Images for Leukemia Detection: A Comprehensive Review
inferred← citeshttps://doi.org/10.1186/s12859-014-0431-xopenalex-snapshot
FogBank: a single cell segmentation across multiple cell lines and image modalities
inferred← citeshttps://doi.org/10.1186/s12859-016-1252-xopenalex-snapshot
Large-scale localization of touching somas from 3D images using density-peak clustering
inferred← citeshttps://doi.org/10.21307/ijssis-2017-705openalex-snapshot
Overlapping White Blood Cell Segmentation And Counting On Microscopic Blood Cell Images
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