Directional Weighted Spatial Fuzzy C-Means for Segmentation of Brain MRI Images

Bibliographic Details
Main Author:	Muhammad Arshad, Javed
Format:	Thesis
Language:	English English
Published:	Universiti Malaysia Sarawak, (UNIMAS) 2017
Subjects:	T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/23883/
Abstract	Abstract here

Similar Items

Spatial fuzzy c-mean sobel algorithm with grey wolf optimizer for MRI brain image segmentation
by: Iman Omidvar Tehrani
Published: (2025)

Dynamic fuzzy c-mean based firefly photinus search algorithm for MRI brain tumor image segmentation
by: Waleed Khamees Ali Alomoush (P56199)
Published: (2023)

Fuzzy C-means clustering algorithm with level set for MRI cerebral tissue segmentation
by: Ismail Yaqub Maolood
Published: (2025)

White-Matter Lesion Segmentation In Brain Mri Using Adaptive Trimmed Mean Approach
by: Ong , Kok Haur
Published: (2011)

Spatial Kernel-based Generalized C-mean Clustering for Medical Image Segmentation.
by: Lee, Song Yeow
Published: (2010)

Image Segmentation With Cyclic Load Balanced Parallel Fuzzy C - Means.
by: Vadiveloo, Mogana
Published: (2010)

Automatic brain tumor segmentation method using improved fuzzy C-means and fuzzy particle swarm optimization
by: Saeed Zanganeh
Published: (2025)

Brain Lesion Segmentation And Classification Using Diffusion-Weighted Imaging (DWI)
by: Muda, Ayuni Fateeha
Published: (2016)

Spectral texture segmentation of Magnetic Resonance Imaging (MRI) brain images for glioma brain tumour detection / Rosniza Roslan
by: Roslan, Rosniza
Published: (2013)

HMRF Model For Brain Tumour Segmentation To Estimate The Volume Of MRI And CT Scan Images
by: Abdulbaqi, Hayder Saad
Published: (2018)

Development of Acute Stroke Lesion Segmentation Algorithm in Brain MRI using Pseudo-colour with K-means Clustering
by: Abang Mohd Arif Anaqi, Abang Isa
Published: (2021)

Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation
by: Tan , Khang Siang
Published: (2011)

Brain Mri Images Quality Enhancement Using Image Processing Techniques
by: Vispalingam, Asvhini Seema
Published: (2023)

Stroke Lesion Segmentation And Classification For Diffusion-Weighted Imaging
by: Mohd Noor, Nor Shahirah
Published: (2020)

Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients
by: Moghbel, Mehrdad
Published: (2017)

A comparison study of deep CNN models for brain tumor MRI image classification
by: Muhammad Imran, Mohd Ridzuan
Published: (2021)

Automated feature extraction on brain MRI images for predicting multiple sclerosis patient disability
by: M. Muslim, Ali
Published: (2022)

Brain tumor MRI images detection and classification based on convolution neural network techniques
by: Galal, Sabaa Ahmed Yahya
Published: (2024)

Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD)
by: Gilani Mohamed, Mohamed Ahmed
Published: (2022)

Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm
by: Abdurrahim, Salem Hamed
Published: (2004)

An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa
by: Isa, Iza Sazanita
Published: (2018)

Image Segmentation using Enhanced K-means Clustering with Hybrid Image Filtering for Acute Leukemia Blood Cells Microscopic Images
by: Farah Hanim Bt Abd Jabar
Published: (2024)

Slantlet transform-based segmentation and a-shape theory-based 3D visualization and volume calculation methods for MRI brain tumour
by: Al-Tamimi, Mohammed Sabbih Hamoud
Published: (2025)

Radiomics analysis and supervised machine learning model for classification of cervical cancer images using diffusion weighted imaging-MRI
by: Ramli, Zarina
Published: (2024)

Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
by: Safa, Soodabeh
Published: (2016)

Brain MRI Tumor Analysis and Classification using Deep Learning
by: Ghazanfar, Latif
Published: (2021)

Automated brain lesion classification method for diffusion-weighted magnetic resonance images
by: Norhashimah Mohd. Saad
Published: (2025)

Hybrid fuzzy C-means and singular spectrum analysis for streamflow forecasting
by: Najah Mohd. Nasir
Published: (2025)

Integrating type-2 fuzzy logic system with fuzzy C-means clustering for weather prediction
by: Soozaei, Ahmad Shahi
Published: (2011)

Improvisation of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
by: Ramly, Nurfarawahida
Published: (2018)

Diffusion tensor imaging of the rotator cuff muscles : optimisation of b value and number of diffusion direction for imaging at 3 Tesla MRI
by: Kamarudin, Mohd Nazlin
Published: (2018)

Harmony search-based fuzzy clustering algorithms for image segmentation.
by: Alia, Osama Moh’d Radi
Published: (2011)

Harmony Search-Based Fuzzy Clustering Algorithms For Image Segmentation
by: Alia, Osama Moh’d Radi
Published: (2011)

Fractal and edge-based techniques for kidney enhancement and segmentation on Magnetic Resonance Images (MRI) / Alaá Rateb Mahmoud Al-Shamasneh
by: Alaá Rateb Mahmoud , Al-Shamasneh
Published: (2020)

Study on kratom usage effects at respiratory centre (brain stem) by functional MRI
by: Ramachandran, Renuka Devi
Published: (2023)

Fuzzy C mean clustering in off-line handwriting signature verfication system
by: Lee, Beng Yong
Published: (2006)

Cerebrovascular Segmentation Architecture With Channel Attention And Spatial Kernel Filtering For Tof-Mra Images
by: Goni, Mohammad Raihan
Published: (2024)

Computational study of hemodynamics analysis between mri measurement and cfd simulation on segmented patient-specific cerebral aneurysm model
by: Lim, Sheh Hong
Published: (2021)

A new classification technique based on hybrid fuzzy soft set theory and supervised fuzzy c-means
by: Handaga, Bana
Published: (2013)

New approach using weighted color histogram and spatial information for content-based image retrieval
by: Mohd Amru Saifullah Alias
Published: (2006)