Brain tumor segmentation from MRI data sets using region growing approach

No abstract is available for this paper.

• Publication year

  2011

• Venue

  Perspective Technologies and Methods in MEMS Design

• Publication date

  2011-05-11

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• How Does MRI Work? An Introduction to the Physics and Function of Magnetic Resonance Imaging

  2007cited by this paper
• Data-driven brain MRI segmentation supported on edge confidence and a priori tissue information

  2006cited by this paper
• MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization

  2005cited by this paper
• A brain tumor segmentation framework based on outlier detection

  2004cited by this paper
• How does MRI Work? An Introduction to the Physics and Function of Magnetic Resonance Imaging D. Weishaupt, V.D. Köchli, B. Marincek, Springer-Verlag, 2003, pp. 138, Euro 29.95, ISBN 3-540-44094-1

  2004cited by this paper
• Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure

  2004cited by this paper
• Magnetic resonance image tissue classification using a partial volume model.

  2001cited by this paper
• An Efficient Algorithm for Topologically Correct Segmentation of the Cortical Sheet in Anatomical MR Volumes

  2001cited by this paper
• Automated segmentation of MR images of brain tumors.

  2001cited by this paper
• Automatic morphology-based brain segmentation (MBRASE) from MRI-T1 data.

  2000cited by this paper
• Fully automatic segmentation of the brain in MRI

  1998cited by this paper
• Automatic tumor segmentation using knowledge-based techniques

  1998cited by this paper

• Dual Attention-Guided U-Net with Hybrid Loss for MRI Brain Tumor Segmentation

  2025cites this paper
• Deep Learning-Based MRI Brain Tumor Segmentation With EfficientNet-Enhanced UNet

  2025cites this paper
• Multimodal MRI brain tumor segmentation using 3D attention UNet with dense encoder blocks and residual decoder blocks

  2024cites this paper
• An entropy-based membership approach on type-II fuzzy set (EMT2FCM) for biomedical image segmentation

  2024cites this paper
• Development of an unsupervised pseudo-deep approach for brain tumor detection in magnetic resonance images

  2024cites this paper
• ETUNet:Exploring efficient transformer enhanced UNet for 3D brain tumor segmentation

  2024cites this paper
• 3D Brain Tumor Segmentation Using Modified U-Net Architecture

  2023cites this paper
• An OTP Framework for effective tumor segmentation and analysis in brain MRI images

  2023cites this paper
• Systematic survey on generative adversarial networks for brain tumor segmentation and classification

  2023cites this paper
• Detection and Segmentation of Brain Tumor by Using Modified Watershed Algorithm and Thresholding to Reduce Over-Segmentation

  2023cites this paper
• BirCat Optimization for Automatic Segmentation of Brain Tumors and Pixel Change Detection Using Post-operative MRI Images

  2022cites this paper
• A Review of Image Segmentation Methods in Brain Tumor

  2022cites this paper
• Particle Swarm Optimization and Two-Way Fixed-Effects Analysis of Variance for Efficient Brain Tumor Segmentation

  2022cites this paper
• Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images

  2022cites this paper
• Brain tumor segmentation and classification in MRI using SVM and its variants: a survey

  2022cites this paper
• An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review

  2022cites this paper
• A Deep-Learning Model with Learnable Group Convolution and Deep Supervision for Brain Tumor Segmentation

  2021cites this paper
• Edge Enhancement Based on an Active Contour Model for the Segmentation of Brain Tumors in MRI Images

  2021cites this paper
• Brain tumor segmentation based on region of interest-aided localization and segmentation U-Net

  2021cites this paper
• Review and potential for artificial intelligence in healthcare

  2021cites this paper
• Accurate Automatic Glioma Segmentation in Brain MRI images Based on CapsNet

  2021cites this paper
• Detection of brain tumour in 2D MRI: implementation and critical review of clustering-based image segmentation methods

  2020cites this paper
• Critical Analysis of Brain Magnetic Resonance Images Tumor Detection and Classification Techniques

  2020cites this paper
• A Survey on Computer-Aided Diagnosis of Brain Disorders through MRI Based on Machine Learning and Data Mining Methodologies with an Emphasis on Alzheimer Disease Diagnosis and the Contribution of the Multimodal Fusion

  2020cites this paper
• Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors

  2019cites this paper
• A review on brain tumor segmentation of MRI images.

  2019cites this paper
• Review on MRI Brain Tumor Segmentation Approaches

  2019cites this paper
• Prognostic applications for Alzheimer's disease using magnetic resonance imaging and machine-learning

  2018cites this paper
• Case-control comparison brain lesion segmentation for early infarct detection

  2018cites this paper
• A Novel Approach for Extricating Information from Speckle Noise Corrupted Color Brain MRI Images Using Morphological Enhancement Followed by Watershed and Region Growing Based Segmentation

  2018cites this paper
• An Automated Method for Brain Tumor Segmentation Based on Level Set

  2018cites this paper
• A new active contour model for tumor segmentation

  2017cites this paper
• SEGMA: An Automatic SEGMentation Approach for Human Brain MRI Using Sliding Window and Random Forests

  2017cites this paper
• Firefly Algorithm Assisted Segmentation of Tumor from Brain MRI using Tsallis Function and Markov Random Field

  2017cites this paper
• Detection of Brain Tumor Based On Segmentation Using Region Growing Method

  2016cites this paper
• Statistical textural feature and deformable model based brain tumor segmentation and volume estimation

  2016cites this paper
• Statistical textural feature and deformable model based MR brain tumor segmentation

  2016cites this paper
• Automated Single and Multi-Breast Tumor Segmentation Using Improved Watershed Technique in 2D MRI Images

  2016cites this paper
• An Evaluation of Automated Tumor Detection Techniques of Brain Magnetic Resonance Imaging (MRI)

  2016cites this paper
• Brain Tumor Segmentation using Multiobjective Fuzzy Clustering

  2016cites this paper
• Brain Tumor Analysis of Rician Noise Affected MRI Images

  2016cites this paper
• Unsupervised Segmentation and Texture Visualization of 3D Medical Images using Textural Features

  2016cites this paper
• Brain Tumor Analysis of Rician Noise Affected MRI Images

  2016cites this paper
• Brain Ischemic Stroke Segmentation : A Survey

  2015cites this paper
• MRI Segmentation of the Human Brain: Challenges, Methods, and Applications

  2015cites this paper
• Level set segmentation using non-negative matrix factorization with application to brain MRI

  2015cites this paper
• Improving Brain Magnetic Resonance Image (MRI) Segmentation via a Novel Algorithm based on Genetic and Regional Growth

  2015cites this paper
• A simple and intelligent approach for brain MRI classification

  2015cites this paper
• Automatic System For Brain Tumor Detection And Classification Using Level Set And ANN

  2014cites this paper
• Automatic brain tumor detection and segmentation for MRI using covariance and geodesic distance

  2014cites this paper
• Development of KITE image processing technique for brain tumor detection by interfacing patient's Live Brain Image

  2014cites this paper
• Brain Tumor Detection and Identification from T 1 Post Contrast MR Images Using Cluster Based Segmentation

  2014cites this paper
• Brain Tumor Extraction using Marker Controlled Watershed Segmentation

  2014influential citation
• Segmentation of Brain Tumors using Meta Heuristic Algorithms

  2014cites this paper
• An Efficient Scheme for Brain Tumor Detection of MRI Brain Images Using Euclidean Distance

  2014cites this paper
• Detection and Identification of Brain Tumor in Brain MR Images Using Fuzzy C-Means Segmentation

  2013cites this paper
• Comparative Study of Segmentation Techniques for Extracting Brain Tumour from MRI image

  2013cites this paper
• Sobel Operator with BayesShrink Wavelet De-Noising for Segmentation of Neurosarcoidosis in Brain MRI Images

  2013cites this paper
• Fast parallel volume visualization on CUDA technology

  2013cites this paper
• BayesShrink Wavelet DeNoising for Segmentation of Neurosarcoidosis in Brain MRI Images

  2013cites this paper
• Computer-aided diagnosis system for tissue characterization of brain tumor on magnetic resonance images

  2013cites this paper
• Automatic Brain Tumor Extraction for MRI-T1 and T2 using Geodesic Distance and Statistical Methods

  2013cites this paper
• Brain tumour extraction from MRI images using bounding-box with level set method

  2013cites this paper
• Study of Various Methods for Brain Tumour Segmentation from MRI Images

  2013cites this paper
• Nowoczesne metody segmentacji obrazów w wybranych przemysłowych i medycznych systemach wizyjnych

  2012cites this paper
• Locating abnormalities in brain blood vessels using parallel computing architecture

  2012cites this paper
• Mutltimodal MRI Brain Tumor Segmentation using 3D Attention UNet with Dense Encoder Blocks and Residual Decoder Blocks

  year unknowncites this paper
• Brain Tumor Segmentation Using Fuzzy Otsu Threshold Morphological Algorithm

  year unknowncites this paper