A comprehensive review on brain tumor segmentation and classification of MRI images

Machine Learning Decision Tree Models for Differentiation of Posterior Fossa Tumors Using Diffusion Histogram Analysis and Structural MRI Findings

(2020) Seyedmehdi Payabvash et al.   Frontiers in Oncology

A Review on a Deep Learning Perspective in Brain Cancer Classification

(2019) Gopal S. Tandel et al.   Cancers

A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease

(2019) Michelle Livne et al.   Frontiers in Neuroscience

Joint segmentation and classification of retinal arteries/veins from fundus images

(2019) Fantin Girard et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Deep learning based enhanced tumor segmentation approach for MR brain images

(2019) Mamta Mittal et al.   APPLIED SOFT COMPUTING

MMAN: Multi-modality aggregation network for brain segmentation from MR images

(2019) Jingcong Li et al.   NEUROCOMPUTING

A deep neural network based classifier for brain tumor diagnosis

(2019) Ambeshwar Kumar et al.   APPLIED SOFT COMPUTING

A review on brain tumor segmentation of MRI images

(2019) Anjali Wadhwa et al.   MAGNETIC RESONANCE IMAGING

A hybrid of active contour model and convex hull for automated brain tumor segmentation in multimodal MRI

(2019) Shiv Naresh Shivhare et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Automatic fetal brain extraction from 2D in utero fetal MRI slices using deep neural network

(2019) Jinpeng Li et al.   NEUROCOMPUTING

An adaptive differential evolution algorithm to optimal multi-level thresholding for MRI brain image segmentation

(2019) Omid Tarkhaneh et al.   EXPERT SYSTEMS WITH APPLICATIONS

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

(2018) Xiaomeng Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

(2018) Xiaomei Zhao et al.   MEDICAL IMAGE ANALYSIS

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

Multi-grade brain tumor classification using deep CNN with extensive data augmentation

(2018) Muhammad Sajjad et al.   Journal of Computational Science

Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms

(2018) Amin Kabir Anaraki et al.   Biocybernetics and Biomedical Engineering

Large scale deep learning for computer aided detection of mammographic lesions

(2017) Thijs Kooi et al.   MEDICAL IMAGE ANALYSIS

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

(2016) Tom Brosch et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

(2016) Pim Moeskops et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Brain tumour classification using two-tier classifier with adaptive segmentation technique

(2016) V. Anitha et al.   IET Computer Vision

Fuzzy C means integrated with spatial information and contrast enhancement for segmentation of MR brain images

(2016) R. Meena Prakash et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Stratified mixture modeling for segmentation of white-matter lesions in brain MR images

(2016) Alfiia Galimzianova et al.   NEUROIMAGE

Deep MRI brain extraction: A 3D convolutional neural network for skull stripping

(2016) Jens Kleesiek et al.   NEUROIMAGE

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

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

(2016) Geert Litjens et al.   Scientific Reports

Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation

(2015) Carole H. Sudre et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI

(2015) Zahra Karimaghaloo et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Multi-atlas segmentation of biomedical images: A survey

(2015) Juan Eugenio Iglesias et al.   MEDICAL IMAGE ANALYSIS

LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images

(2015) Li Wang et al.   NEUROIMAGE

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

(2015) Wenlu Zhang et al.   NEUROIMAGE

Automatic segmentation of MR brain images of preterm infants using supervised classification

(2015) Pim Moeskops et al.   NEUROIMAGE

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

Brain Tumor Segmentation Based on Local Independent Projection-Based Classification

(2014) Meiyan Huang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain

(2014) Antonios Makropoulos et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Hidden Markov random field model based brain MR image segmentation using clonal selection algorithm and Markov chain Monte Carlo method

(2013) Tong Zhang et al.   Biomedical Signal Processing and Control

State of the art survey on MRI brain tumor segmentation

(2013) Nelly Gordillo et al.   MAGNETIC RESONANCE IMAGING

A unified framework for cross-modality multi-atlas segmentation of brain MRI

(2013) Juan Eugenio Iglesias et al.   MEDICAL IMAGE ANALYSIS

Fuzzy C-mean based brain MRI segmentation algorithms

(2012) M. A. Balafar   ARTIFICIAL INTELLIGENCE REVIEW

Generalized rough fuzzy c-means algorithm for brain MR image segmentation

(2011) Zexuan Ji et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Effective fuzzy c-means based kernel function in segmenting medical images

(2010) S.R. Kannan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation

(2010) Bing Nan Li et al.   COMPUTERS IN BIOLOGY AND MEDICINE

CENTS: Cortical enhanced neonatal tissue segmentation

(2010) Feng Shi et al.   HUMAN BRAIN MAPPING

Hybrid intelligent techniques for MRI brain images classification

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

Fast and robust multi-atlas segmentation of brain magnetic resonance images

(2009) Jyrki MP. Lötjönen et al.   NEUROIMAGE

Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models

(2008) Zhuowen Tu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Enhanced brain extraction improves the accuracy of brain atrophy estimation

(2008) Marco Battaglini et al.   NEUROIMAGE

Construction of a 3D probabilistic atlas of human cortical structures

(2007) David W. Shattuck et al.   NEUROIMAGE

A unified framework for image compression and segmentation by using an incremental neural network

(2006) Zümray Dokur   EXPERT SYSTEMS WITH APPLICATIONS