Level set method for automated 3D brain tumor segmentation using symmetry analysis and kernel induced fuzzy clustering

Brain tumor classification using a hybrid deep autoencoder with Bayesian fuzzy clustering-based segmentation approach

(2020) P.M. Siva Raja et al.   Biocybernetics and Biomedical Engineering

A novel fuzzy clustering algorithm by minimizing global and spatially constrained likelihood-based local entropies for noisy 3D brain MR image segmentation

(2020) Nabanita Mahata et al.   APPLIED SOFT COMPUTING

Optimization driven Deep Convolution Neural Network for brain tumor classification

(2020) Sharan Kumar et al.   Biocybernetics and Biomedical Engineering

Detection of brain tumors from MRI images base on deep learning using hybrid model CNN and NADE

(2020) Raheleh Hashemzehi et al.   Biocybernetics and Biomedical Engineering

Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images

(2020) Mohamed A. Naser et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning based enhanced tumor segmentation approach for MR brain images

(2019) Mamta Mittal et al.   APPLIED SOFT COMPUTING

A level set method for brain MR image segmentation under asymmetric distributions

(2019) Yunjie Chen et al.   Signal Image and Video Processing

Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks

(2019) Pablo Ribalta Lorenzo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Brain Tumor Detection using Fusion of Hand Crafted and Deep Learning Features

(2019) Tanzila Saba et al.   Cognitive Systems Research

Adaptive local-fitting-based active contour model for medical image segmentation

(2019) Dongdong Ma et al.   SIGNAL PROCESSING-IMAGE COMMUNICATION

Multi-modal medical image segmentation based on vector-valued active contour models

(2019) Lingling Fang et al.   INFORMATION SCIENCES

A novel enhanced softmax loss function for brain tumour detection using deep learning

(2019) Sunil Maharjan et al.   JOURNAL OF NEUROSCIENCE METHODS

Brain tumor detection based on Convolutional Neural Network with neutrosophic expert maximum fuzzy sure entropy

(2019) Fatih Özyurt et al.   MEASUREMENT

Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware

(2019) Fatih ŞİŞİK et al.   MEDICAL HYPOTHESES

Brain tumor segmentation with Vander Lugt correlator based active contour

(2018) Abdelaziz Essadike et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxels

(2018) Mohammadreza Soltaninejad et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A new deformable model based on fractional Wright energy function for tumor segmentation of volumetric brain MRI scans

(2018) Rabha W. Ibrahim et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation

(2018) Xiaomei Zhao et al.   MEDICAL IMAGE ANALYSIS

Segmentation of glioma tumors in brain using deep convolutional neural network

(2018) Saddam Hussain et al.   NEUROCOMPUTING

Cognition-based MRI brain tumor segmentation technique using modified level set method

(2018) Virupakshappa et al.   Cognition Technology & Work

Fully Automatic Brain Tumor Segmentation using End-to-End Incremental Deep Neural Networks in MRI images

(2018) Mostefa Ben naceur et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Fully automated multi-parametric brain tumour segmentation using superpixel based classification

(2018) Zaka Ur Rehman et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fast and robust brain tumor segmentation using level set method with multiple image information

(2017) Ka Hei Lok et al.   Journal of X-Ray Science and Technology

Localized active contour model with background intensity compensation applied on automatic MR brain tumor segmentation

(2017) Elisee Ilunga-Mbuyamba et al.   NEUROCOMPUTING

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

(2017) Spyridon Bakas et al.   Scientific Data

Brain MR image segmentation based on an improved active contour model

(2017) Xiangrui Meng et al.   PLoS One

A Novel Brain Tumor Segmentation from Multi-Modality MRI via A Level-Set-Based Model

(2016) Yantao Song et al.   Journal of Signal Processing Systems for Signal Image and Video Technology

Segmentation of Brain Tumors in MRI Images Using Three-Dimensional Active Contour without Edge

(2016) Ali Hasan et al.   Symmetry-Basel

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

(2015) Bjoern H. Menze et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Simultaneous vector-valued image segmentation and intensity nonuniformity correction using variational level set combined with Markov random field modeling

(2015) Zahra Shahvaran et al.   Signal Image and Video Processing

Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation

(2014) Chunming Li et al.   MAGNETIC RESONANCE IMAGING

Quick detection of brain tumors and edemas: A bounding box method using symmetry

(2011) Baidya Nath Saha et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Framelet Algorithms for De-Blurring Images Corrupted by Impulse Plus Gaussian Noise

(2011) Yan-Ran Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Effective Level Set Image Segmentation With a Kernel Induced Data Term

(2009) M. Ben Salah et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Minimization of Region-Scalable Fitting Energy for Image Segmentation

(2008) Chunming Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING