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A novel brain image segmentation using intuitionistic fuzzy C means algorithm

https://doi.org/10.1002/ima.22153
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1 of the 20 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1016/j.patrec.2012.09.015 (notice 2013-04-15).

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What this work says

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

inferredcites →https://doi.org/10.1007/978-81-322-1680-3_9openalex-snapshot
An Intuitionistic Fuzzy Approach to Fuzzy Clustering of Numerical Dataset
inferredcites →https://doi.org/10.1007/s00500-014-1264-2openalex-snapshot
Intuitionistic fuzzy $$c$$ c -means clustering algorithm with neighborhood attraction in segmenting medical image
inferredcites →https://doi.org/10.1016/j.asoc.2011.12.011openalex-snapshot
A rank ordered filter for medical image edge enhancement and detection using intuitionistic fuzzy set
inferredcites →https://doi.org/10.1016/j.asoc.2012.02.010openalex-snapshot
Fuzzy c-means clustering with weighted image patch for image segmentation
inferredcites →https://doi.org/10.1016/j.cmpb.2011.10.010openalex-snapshot
Generalized rough fuzzy c-means algorithm for brain MR image segmentation
inferredcites →https://doi.org/10.1016/j.eswa.2012.05.055openalex-snapshot
Image segmentation using Atanassov’s intuitionistic fuzzy sets
inferredcites →https://doi.org/10.1016/j.ins.2012.06.024openalex-snapshot
Intuitionistic fuzzy hypergraphs with applications
inferredcites →https://doi.org/10.1016/j.patcog.2012.03.009openalex-snapshot
A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data
inferredcites →https://doi.org/10.1016/j.patcog.2014.07.003openalex-snapshot
Segmentation of gray scale image based on intuitionistic fuzzy sets constructed from several membership functions
inferredcites →https://doi.org/10.1016/j.patrec.2012.09.015openalex-snapshot
RETRACTED: A robust kernelized intuitionistic fuzzy c-means clustering algorithm in segmentation of noisy medical images
inferredcites →https://doi.org/10.1080/18756891.2013.865830openalex-snapshot
An Atanassov's intuitionistic Fuzzy Kernel Clustering for Medical Image segmentation
inferredcites →https://doi.org/10.1109/bhi.2012.6211611openalex-snapshot
Application of intuitionistic fuzzy histon segmentation for the automated detection of optic disc in digital fundus images
inferredcites →https://doi.org/10.1109/tip.2012.2219547openalex-snapshot
Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation
inferredcites →https://doi.org/10.1109/titb.2012.2185852openalex-snapshot
Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation
inferredcites →https://doi.org/10.1109/tsmcb.2012.2218233openalex-snapshot
A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method
inferredcites →https://doi.org/10.1111/jmi.12200openalex-snapshot
A novel segmentation approach for noisy medical images using Intuitionistic fuzzy divergence with neighbourhood‐based membership function
inferredcites →https://doi.org/10.1155/2012/830252openalex-snapshot
A Hybrid Technique for Medical Image Segmentation
inferredcites →https://doi.org/10.1177/0954411912458740openalex-snapshot
Automated detection of optic disk in retinal fundus images using intuitionistic fuzzy histon segmentation
inferredcites →https://doi.org/10.4156/jdcta.vol6.issue11.12openalex-snapshot
A FCM Algorithm Based on Weighted Intuitionistic Fuzzy Set
inferredcites →https://doi.org/10.5815/ijisa.2012.07.07openalex-snapshot
Review and Comparison of Kernel Based Fuzzy Image Segmentation Techniques

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-95-4367-0_41openalex-snapshot
A Novel Bi-environmental Intuitionistic Fuzzy C-Means Clustering Algorithm
inferred← citeshttps://doi.org/10.1016/j.artmed.2018.11.007openalex-snapshot
CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112581openalex-snapshot
The distance and entropy measures-based intuitionistic fuzzy C-means and similarity matrix clustering algorithms and their applications
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2020.103776openalex-snapshot
Intuitionistic based segmentation of thyroid nodules in ultrasound images
inferred← citeshttps://doi.org/10.1016/j.ins.2017.03.001openalex-snapshot
Informational Paradigm, management of uncertainty and theoretical formalisms in the clustering framework: A review
inferred← citeshttps://doi.org/10.1038/s41598-024-68930-6openalex-snapshot
A cost-sensitive decision model for efficient pooled testing in mass surveillance of infectious diseases like COVID-19
inferred← citeshttps://doi.org/10.1063/5.0025149openalex-snapshot
Ranking method for uncertain problems using TpFCMs model
inferred← citeshttps://doi.org/10.1088/1742-6596/892/1/012019openalex-snapshot
Eye Redness Image Processing Techniques
inferred← citeshttps://doi.org/10.1109/cisp-bmei.2017.8301978openalex-snapshot
Brain MR image segmentation based on Gaussian filtering and improved FCM clustering algorithm
inferred← citeshttps://doi.org/10.1109/icfst.2017.8210510openalex-snapshot
A novel isotherm extracting method for temperature sensitive paint image
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