Detection of brain tumors from MR images using fuzzy thresholding and texture feature descriptor

An improved hybrid classification of brain tumor MRI images based on conglomeration feature extraction techniques

(2022) Twinkle Bansal et al.   NEURAL COMPUTING & APPLICATIONS

Segmentation and classification of brain tumors from MRI images based on adaptive mechanisms and ELDP feature descriptor

(2022) K. Rasool Reddy et al.   Biomedical Signal Processing and Control

Detection of brain lesion location in MRI images using convolutional neural network and robust PCA

(2021) Mohsen Ahmadi et al.   INTERNATIONAL JOURNAL OF NEUROSCIENCE

Deep Learning-based Brain Tumour Segmentation

(2021) Pattabiraman Ventakasubbu et al.   IETE JOURNAL OF RESEARCH

Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method

(2020) Mesut Toğaçar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Detection of tumors on brain MRI images using the hybrid convolutional neural network architecture

(2020) Ahmet Çinar et al.   MEDICAL HYPOTHESES

M.R. brain tumor classification employing ICA and kernel-based support vector machine

(2020) Rahul Singh et al.   Signal Image and Video Processing

Brain tumor detection and classification: A framework of marker-based watershed algorithm and multilevel priority features selection

(2019) Muhammad A. Khan et al.   MICROSCOPY RESEARCH AND TECHNIQUE

Deep learning based enhanced tumor segmentation approach for MR brain images

(2019) Mamta Mittal et al.   APPLIED SOFT COMPUTING

Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning

(2019) Awwal Muhammad Dawud et al.   Computational Intelligence and Neuroscience

Brain tumor classification using deep CNN features via transfer learning

(2019) S. Deepak et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Medical image segmentation using fast discrete curvelet transform and classification methods for MRI brain images

(2019) P. Muthu Krishnammal et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Brain tumor diagnosis based on artificial neural network and a chaos whale optimization algorithm

(2019) Shu Gong et al.   COMPUTATIONAL INTELLIGENCE

BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model

(2019) Mesut Toğaçar et al.   MEDICAL HYPOTHESES

Performance analysis of meningioma brain tumor classifications based on gradient boosting classifier

(2018) A. Selvapandian et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection

(2018) Muhammad Sharif et al.   Journal of Ambient Intelligence and Humanized Computing

Pathological Brain Detection Using Weiner Filtering, 2D-Discrete Wavelet Transform, Probabilistic PCA, and Random Subspace Ensemble Classifier

(2017) Debesh Jha et al.   Computational Intelligence and Neuroscience

An unsupervised learning method with a clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images

(2016) G. Vishnuvarthanan et al.   APPLIED SOFT COMPUTING

State of the art survey on MRI brain tumor segmentation

(2013) Nelly Gordillo et al.   MAGNETIC RESONANCE IMAGING

Identification of phase transition temperatures by statistical image analysis

(2012) S. Sreehari Sastry et al.   LIQUID CRYSTALS

A Completed Modeling of Local Binary Pattern Operator for Texture Classification

(2010) Zhenhua Guo et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

MRI denoising using Non-Local Means

(2008) J MANJON et al.   MEDICAL IMAGE ANALYSIS

Comparison of decision tree methods for finding active objects

(2007) Yongheng Zhao et al.   ADVANCES IN SPACE RESEARCH