Fast and robust spatial fuzzy bounded k-plane clustering method for human brain MRI image segmentation

A novel fuzzy clustering based method for image segmentation in RGB-D images

(2022) Nand Kishor Yadav et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Deformable models for image segmentation: A critical review of achievements and future challenges

(2022) Ankit Kumar et al.   COMPUTERS & MATHEMATICS WITH APPLICATIONS

An active contour model driven by adaptive local pre-fitting energy function based on Jeffreys divergence for image segmentation

(2022) Pengqiang Ge et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation

(2021) Ioan-Daniel Borlea et al.   KNOWLEDGE-BASED SYSTEMS

K-centroid link: a novel hierarchical clustering linkage method

(2021) Alican Dogan et al.   APPLIED INTELLIGENCE

Distribution-Based Entropy Weighting Clustering of Skewed and Heavy Tailed Time Series

(2021) Raffaele Mattera et al.   Symmetry-Basel

Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state‐of‐art applications

(2020) Hyunseok Seo et al.   MEDICAL PHYSICS

Robust fuzzy c-means clustering algorithm with adaptive spatial & intensity constraint and membership linking for noise image segmentation

(2020) Qingsheng Wang et al.   APPLIED SOFT COMPUTING

Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation

(2019) Dhirendra Kumar et al.   SOFT COMPUTING

A novel region-based active contour model via local patch similarity measure for image segmentation

(2018) Haiping Yu et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Fuzzy mixed-prototype clustering algorithm for microarray data analysis

(2018) Jin Liu et al.   NEUROCOMPUTING

Similarity Measure-Based Possibilistic FCM With Label Information for Brain MRI Segmentation

(2018) Xiangzhi Bai et al.   IEEE Transactions on Cybernetics

Deviation-Sparse Fuzzy C-Means With Neighbor Information Constraint

(2018) Yuxuan Zhang et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation

(2016) Hanuman Verma et al.   APPLIED SOFT COMPUTING

k-Proximal plane clustering

(2016) Li-Ming Liu et al.   International Journal of Machine Learning and Cybernetics

Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based FuzzyC-Means Clustering

(2015) Ahmed Elazab et al.   Computational and Mathematical Methods in Medicine

Local k-proximal plane clustering

(2014) Zhi-Min Yang et al.   NEURAL COMPUTING & APPLICATIONS

Gaussian mixture model based segmentation methods for brain MRI images

(2012) M. A. Balafar   ARTIFICIAL INTELLIGENCE REVIEW

A local region-based Chan–Vese model for image segmentation

(2012) Shigang Liu et al.   PATTERN RECOGNITION

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

(2011) Joaquín Derrac et al.   Swarm and Evolutionary Computation

Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy

(2009) P. Aljabar et al.   NEUROIMAGE

Robust fuzzy clustering-based image segmentation

(2008) Zhang Yang et al.   APPLIED SOFT COMPUTING