A survey on brain tumor detection techniques for MR images

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease

(2019) Simeon Spasov et al.   NEUROIMAGE

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

(2019) M. Mohammed Thaha et al.   JOURNAL OF MEDICAL SYSTEMS

Adaptive Augmentation of Medical Data Using Independently Conditional Variational Auto-Encoders

(2019) Mehran Pesteie et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

MRI based medical image analysis: Survey on brain tumor grade classification

(2018) Geethu Mohan et al.   Biomedical Signal Processing and Control

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

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

Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI

(2018) Kai Roman Laukamp et al.   EUROPEAN RADIOLOGY

Big data analysis for brain tumor detection: Deep convolutional neural networks

(2018) Javeria Amin et al.   Future Generation Computer Systems-The International Journal of eScience

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

(2018) Xiaomei Zhao et al.   MEDICAL IMAGE ANALYSIS

Learning normalized inputs for iterative estimation in medical image segmentation

(2018) Michal Drozdzal et al.   MEDICAL IMAGE ANALYSIS

Brain tumor segmentation in multi-spectral MRI using convolutional neural networks (CNN)

(2018) Sajid Iqbal et al.   MICROSCOPY RESEARCH AND TECHNIQUE

Segmentation of glioma tumors in brain using deep convolutional neural network

(2018) Saddam Hussain et al.   NEUROCOMPUTING

A clustering fusion technique for MR brain tissue segmentation

(2018) Hayat Al-Dmour et al.   NEUROCOMPUTING

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

Development of computer-aided approach for brain tumor detection using random forest classifier

(2017) R. Anitha et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Automated brain tumour segmentation techniques- A review

(2017) M. Angulakshmi et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

Large scale deep learning for computer aided detection of mammographic lesions

(2017) Thijs Kooi et al.   MEDICAL IMAGE ANALYSIS

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

A non-invasive and adaptive CAD system to detect brain tumor from T2-weighted MRIs using customized Otsu’s thresholding with prominent features and supervised learning

(2017) Nidhi Gupta et al.   SIGNAL PROCESSING-IMAGE COMMUNICATION

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

Delineation and diagnosis of brain tumors from post contrast T1-weighted MR images using rough granular computing and random forest

(2016) Subhranil Koley et al.   APPLIED SOFT COMPUTING

Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study

(2016) Jose Dolz et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Brain image segmentation using semi-supervised clustering

(2016) Sriparna Saha et al.   EXPERT SYSTEMS WITH APPLICATIONS

Breast cancer classification using deep belief networks

(2016) Ahmed M. Abdel-Zaher et al.   EXPERT SYSTEMS WITH APPLICATIONS

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

(2016) Sergio Pereira et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A spatially constrained generative asymmetric Gaussian mixture model for image segmentation

(2016) Zexuan Ji et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Neural networks for computer-aided diagnosis in medicine: A review

(2016) Di lin et al.   NEUROCOMPUTING

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

(2016) Jie-Zhi Cheng et al.   Scientific Reports

Multi-resolution MRI Brain Image Segmentation Based on Morphological Pyramid and Fuzzy C-mean Clustering

(2015) Hala Ali et al.   ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING

Automatic brain tumour detection and neovasculature assessment with multiseries MRI analysis

(2015) Pawel Szwarc et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Performance analysis of classifier for brain tumor detection and diagnosis

(2015) P. Shanthakumar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Neonatal brain MRI segmentation: A review

(2015) Chelli N. Devi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automated Multi-Contrast Brain Pathological Area Extraction from 2D MR Images

(2015) P. Dvořák et al.   Journal of Applied Research and Technology

Analysis of neoplastic lesions in magnetic resonance imaging using self-organizing maps

(2015) Paulo Afonso Mei et al.   JOURNAL OF THE NEUROLOGICAL SCIENCES

An adaptive vector quantization approach for image segmentation based on SOM network

(2015) Ailing De et al.   NEUROCOMPUTING

Semi-automated segmentation of pre-operative low grade gliomas in magnetic resonance imaging

(2015) Zeynettin Akkus et al.   CANCER IMAGING

Segmentation of Tumor and Edema Along With Healthy Tissues of Brain Using Wavelets and Neural Networks

(2015) Ayse Demirhan et al.   IEEE Journal of Biomedical and Health Informatics

Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm

(2014) El-Sayed A. El-Dahshan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Adaptive scale fuzzy local Gaussian mixture model for brain MR image segmentation

(2014) Zexuan Ji et al.   NEUROCOMPUTING

A survey of MRI-based brain tumor segmentation methods

(2014) Jin Liu et al.   TSINGHUA SCIENCE AND TECHNOLOGY

Semiautomated Volumetric Measurement on Postcontrast MR Imaging for Analysis of Recurrent and Residual Disease in Glioblastoma Multiforme

(2013) D.S. Chow et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

State of the art survey on MRI brain tumor segmentation

(2013) Nelly Gordillo et al.   MAGNETIC RESONANCE IMAGING

Semi-Automatic Segmentation Software for Quantitative Clinical Brain Glioblastoma Evaluation

(2012) Ying Zhu et al.   ACADEMIC RADIOLOGY

Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation

(2012) Zexuan Ji et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

A novel content-based active contour model for brain tumor segmentation

(2012) Jainy Sachdeva et al.   MAGNETIC RESONANCE IMAGING

SVM-based glioma grading: Optimization by feature reduction analysis

(2012) Frank G. Zöllner et al.   Zeitschrift fur Medizinische Physik

Brain volumetry: An active contour model-based segmentation followed by SVM-based classification

(2011) Betsabeh Tanoori et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Review of brain MRI image segmentation methods

(2010) M. A. Balafar et al.   ARTIFICIAL INTELLIGENCE REVIEW

Combining stationary wavelet transform and self-organizing maps for brain MR image segmentation

(2010) Ayşe Demirhan et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

(2010) Li-Hong Juang et al.   MEASUREMENT

A reproducible evaluation of ANTs similarity metric performance in brain image registration

(2010) Brian B. Avants et al.   NEUROIMAGE

A NOVEL METHOD FOR MAGNETIC RESONANCE BRAIN IMAGE CLASSIFICATION BASED ON ADAPTIVE CHAOTIC PSO

(2010) Yudong Zhang et al.   Progress in Electromagnetics Research-PIER

An improved level set method for brain MR images segmentation and bias correction

(2009) Yunjie Chen et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field

(2009) Jingxin Nie et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Hybrid intelligent techniques for MRI brain images classification

(2009) El-Sayed Ahmed El-Dahshan et al.   DIGITAL SIGNAL PROCESSING

Robust fuzzy clustering-based image segmentation

(2008) Zhang Yang et al.   APPLIED SOFT COMPUTING

3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models

(2008) Hassan Khotanlou et al.   FUZZY SETS AND SYSTEMS

Improving brain tumor characterization on MRI by probabilistic neural networks and non-linear transformation of textural features

(2007) Pantelis Georgiadis et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Hybrid multiresolution Slantlet transform and fuzzy c-means clustering approach for normal-pathological brain MR image segregation

(2007) Madhubanti Maitra et al.   MEDICAL ENGINEERING & PHYSICS