A type-2 neutrosophic-entropy-fusion based multiple thresholding method for the brain tumor tissue structures segmentation

A neutrosophic-entropy based adaptive thresholding segmentation algorithm: A special application in MR images of Parkinson's disease

(2020) Pritpal Singh   ARTIFICIAL INTELLIGENCE IN MEDICINE

An Intuitionistic Fuzzy Set Approach for Multi-attribute Information Classification and Decision-Making

(2020) Pritpal Singh et al.   International Journal of Fuzzy Systems

Multi-atlas segmentation and correction model with level set formulation for 3D brain MR images

(2019) Yunyun Yang et al.   PATTERN RECOGNITION

Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation

(2019) Dhirendra Kumar et al.   SOFT COMPUTING

Uncertainty representation using fuzzy-entropy approach: Special application in remotely sensed high-resolution satellite images (RSHRSIs)

(2018) Pritpal Singh et al.   APPLIED SOFT COMPUTING

Fusion based Glioma brain tumor detection and segmentation using ANFIS classification

(2018) A Selvapandian et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Multi-channeled MR brain image segmentation: A novel double optimization approach combined with clustering technique for tumor identification and tissue segmentation

(2018) Anitha Narayanan et al.   Biocybernetics and Biomedical Engineering

A non-iterative clustering based soft segmentation approach for a class of fuzzy images

(2017) Zhenzhou Wang et al.   APPLIED SOFT COMPUTING

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

(2016) Hanuman Verma et al.   APPLIED SOFT COMPUTING

Calibrating level set approach by granular computing in computed tomography abdominal organs segmentation

(2016) Pawel Badura et al.   APPLIED SOFT COMPUTING

Medical image fusion by combining parallel features on multi-scale local extrema scheme

(2016) Jiao Du et al.   KNOWLEDGE-BASED SYSTEMS

Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

(2015) Jun Cheng et al.   PLoS One

State of the art survey on MRI brain tumor segmentation

(2013) Nelly Gordillo et al.   MAGNETIC RESONANCE IMAGING

Adaptive k-means clustering algorithm for MR breast image segmentation

(2013) Hossam M. Moftah et al.   NEURAL COMPUTING & APPLICATIONS

Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling

(2013) Tong Tong et al.   NEUROIMAGE

Multi-threshold image segmentation using maximum fuzzy entropy based on a new 2D histogram

(2013) Jinhui Lan et al.   OPTIK

Kernel generalized fuzzy c-means clustering with spatial information for image segmentation

(2012) Feng Zhao et al.   DIGITAL SIGNAL PROCESSING

Deformable segmentation via sparse representation and dictionary learning

(2012) Shaoting Zhang et al.   MEDICAL IMAGE ANALYSIS

Color texture image segmentation based on neutrosophic set and wavelet transformation

(2011) Abdulkadir Sengur et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

MRI brain lesion image detection based on color-converted K-means clustering segmentation

(2010) Li-Hong Juang et al.   MEASUREMENT

A de-texturing and spatially constrained K-means approach for image segmentation

(2010) Max Mignotte   PATTERN RECOGNITION LETTERS

Affinity functions in fuzzy connectedness based image segmentation I: Equivalence of affinities

(2009) Krzysztof Chris Ciesielski et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

A neutrosophic approach to image segmentation based on watershed method

(2009) Ming Zhang et al.   SIGNAL PROCESSING

New neutrosophic approach to image segmentation

(2008) Yanhui Guo et al.   PATTERN RECOGNITION

A multilevel automatic thresholding method based on a genetic algorithm for a fast image segmentation

(2007) Kamal Hammouche et al.   COMPUTER VISION AND IMAGE UNDERSTANDING