Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives

Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Model

(2022) Muhannad Faleh Alanazi et al.   SENSORS

Classification of brain tumours in MR images using deep spatiospatial models

(2022) Soumick Chatterjee et al.   Scientific Reports

Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets

(2022) Mariana Bento et al.   Frontiers in Neuroinformatics

Brain Tumor and Glioma Grade Classification using Gaussian Convolutional Neural Network

(2022) Muhammad Rizwan et al.   IEEE Access

Developing an Artificial Intelligence Model for Tumor Grading and Classification, Based on MRI Sequences of Human Brain Gliomas

(2022) Zeinab Khazaee et al.   International Journal of Cancer Management

A Comprehensive Survey on Brain Tumor Diagnosis Using Deep Learning and Emerging Hybrid Techniques with Multi-modal MR Image

(2022) Saqib Ali et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

On evaluation metrics for medical applications of artificial intelligence

(2022) Steven A. Hicks et al.   Scientific Reports

Explanation-Driven Deep Learning Model for Prediction of Brain Tumour Status Using MRI Image Data

(2022) Loveleen Gaur et al.   Frontiers in Genetics

A Deep Learning Model for Preoperative Differentiation of Glioblastoma, Brain Metastasis and Primary Central Nervous System Lymphoma: A Pilot Study

(2022) Leonardo Tariciotti et al.   Frontiers in Oncology

Multimodal MRI Image Decision Fusion-Based Network for Glioma Classification

(2022) Shunchao Guo et al.   Frontiers in Oncology

Classification of Gliomas and Germinomas of the Basal Ganglia by Transfer Learning

(2022) Ningrong Ye et al.   Frontiers in Oncology

A deep learning approach for brain tumor classification using MRI images

(2022) Muhammad Aamir et al.   COMPUTERS & ELECTRICAL ENGINEERING

Multi-class brain tumor classification using residual network and global average pooling

(2021) R Lokesh Kumar et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Brain tumor classification in magnetic resonance image using hard swish-based RELU activation function-convolutional neural network

(2021) Afnan M. Alhassan et al.   NEURAL COMPUTING & APPLICATIONS

Deep CNN for Brain Tumor Classification

(2021) Wadhah Ayadi et al.   NEURAL PROCESSING LETTERS

Brain Tumor Detection and Classification by Hybrid CNN-DWA Model Using MR Images.

(2021) Isselmou Abd El Kader et al.   Current Medical Imaging Reviews

Three‐class classification of brain magnetic resonance images using average‐pooling convolutional neural network

(2021) Jagadeesh Kakarla et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Transfer learning networks with skip connections for classification of brain tumors

(2021) Saleh Alaraimi et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Differential Deep Convolutional Neural Network Model for Brain Tumor Classification

(2021) Isselmou Abd El Kader et al.   Brain Sciences

Role of Deep Learning in Brain Tumor Detection and Classification (2015 to 2020): A Review

(2021) Maria Nazir et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A New optimized sequential method for lung tumor diagnosis based on deep learning and converged search and rescue algorithm

(2021) Qingji Tian et al.   Biomedical Signal Processing and Control

Performance optimisation of deep learning models using majority voting algorithm for brain tumour classification

(2021) Gopal S. Tandel et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Three‐class brain tumor classification from magnetic resonance images using separable convolution based neural network

(2021) Bala Venkateswarlu Isunuri et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

Imaging and treatment of brain tumors through molecular targeting: Recent clinical advances

(2021) Fulvio Zaccagna et al.   EUROPEAN JOURNAL OF RADIOLOGY

Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review

(2021) Quinlan D. Buchlak et al.   JOURNAL OF CLINICAL NEUROSCIENCE

Annual Report to the Nation on the Status of Cancer, Part 1: National Cancer Statistics

(2021) Farhad Islami et al.   JNCI-Journal of the National Cancer Institute

The 2021 WHO Classification of Tumors of the Central Nervous System: a summary

(2021) David N Louis et al.   NEURO-ONCOLOGY

Brain Tumor MR Image Classification Using Convolutional Dictionary Learning With Local Constraint

(2021) Xiaoqing Gu et al.   Frontiers in Neuroscience

Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy

(2021) Michael Yeung et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Hierarchical-order multimodal interaction fusion network for grading gliomas

(2021) Man He et al.   PHYSICS IN MEDICINE AND BIOLOGY

Synergy Factorized Bilinear Network with a Dual Suppression Strategy for Brain Tumor Classification in MRI

(2021) Guanghua Xiao et al.   Micromachines

FWNNet: Presentation of a New Classifier of Brain Tumor Diagnosis Based on Fuzzy Logic and the Wavelet-Based Neural Network Using Machine-Learning Methods

(2021) Mohsen Ahmadi et al.   Computational Intelligence and Neuroscience

Classification of Brain MRI Tumor Images Based on Deep Learning PGGAN Augmentation

(2021) Ahmed M. Gab Allah et al.   Diagnostics

High precision brain tumor classification model based on deep transfer learning and stacking concepts

(2021) Halima El Hamdaoui et al.   Indonesian Journal of Electrical Engineering and Computer Science

A computer-aided grading of glioma tumor using deep residual networks fusion

(2021) Prasun Chandra Tripathi et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Web page classification: a survey of perspectives, gaps, and future directions

(2020) Mahdi Hashemi   MULTIMEDIA TOOLS AND APPLICATIONS

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

(2020) Tahsin Kurc et al.   Frontiers in Neuroscience

Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm

(2020) Gopal S. Tandel et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification

(2020) Hiba Mzoughi et al.   JOURNAL OF DIGITAL IMAGING

Automated glioma grading on conventional MRI images using deep convolutional neural networks

(2020) Ying Zhuge et al.   MEDICAL PHYSICS

Classification of Brain Tumors from MRI Images Using a Convolutional Neural Network

(2020) Milica M. Badža et al.   Applied Sciences-Basel

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

A computer-aided diagnosis system for brain magnetic resonance imaging images using a novel differential feature neural network

(2020) Zheng Huang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep semi-supervised learning for brain tumor classification

(2020) Chenjie Ge et al.   BMC MEDICAL IMAGING

Brain tumor diagnosis based on metaheuristics and deep learning

(2020) An Hu et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Risk-free WHO grading of astrocytoma using convolutional neural networks from MRI images

(2020) Ghulam Gilanie et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets

(2020) Marc-Andre Schulz et al.   Nature Communications

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

(2020) Julia Amann et al.   BMC Medical Informatics and Decision Making

Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma

(2020) Milan Decuyper et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey

(2020) Khan Muhammad et al.   IEEE Transactions on Neural Networks and Learning Systems

Glioma Tumor Grade Identification Using Artificial Intelligent Techniques

(2019) Ahammed Muneer K. V. et al.   JOURNAL OF MEDICAL SYSTEMS

Glioma Grading Using a Machine‐Learning Framework Based on Optimized Features Obtained From T 1 Perfusion MRI and Volumes of Tumor Components

(2019) Anirban Sengupta et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Non-invasive assessment of glioma microstructure using VERDICT MRI: correlation with histology

(2019) Fulvio Zaccagna et al.   EUROPEAN RADIOLOGY

Brain tumor classification for MR images using transfer learning and fine-tuning

(2019) Zar Nawab Khan Swati et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

The quantitative neuroradiology initiative framework: application to dementia

(2019) Olivia Goodkin et al.   BRITISH JOURNAL OF RADIOLOGY

Brain tumor classification using deep CNN features via transfer learning

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

Different Medical Image Registration Techniques: A Comparative Analysis

(2019) Suyambu Karthick et al.   Current Medical Imaging Reviews

Intelligent Glioma Grading Based on Deep Transfer Learning of MRI Radiomic Features

(2019) Chung-Ming Lo et al.   Applied Sciences-Basel

An enhanced deep learning approach for brain cancer MRI images classification using residual networks

(2019) Sarah Ali Abdelaziz Ismael et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images

(2019) Navid Ghassemi et al.   Biomedical Signal Processing and Control

Bayesian HCS-based multi-SVNN: A classification approach for brain tumor segmentation and classification using Bayesian fuzzy clustering

(2018) A. Ratna Raju et al.   Biocybernetics and Biomedical Engineering

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

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

Deep learning with convolutional neural network in radiology

(2018) Koichiro Yasaka et al.   JAPANESE JOURNAL OF RADIOLOGY

Deep learning with convolutional neural network in radiology

(2018) Koichiro Yasaka et al.   Japanese Journal of Radiology

Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning

(2018) Mizuho Nishio et al.   PLoS One

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

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

Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning

(2018) Yang Yang et al.   Frontiers in Neuroscience

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

Current Clinical Brain Tumor Imaging

(2017) Javier E. Villanueva-Meyer et al.   NEUROSURGERY

Astrocytic tumour grading: a comparative study of three-dimensional pseudocontinuous arterial spin labelling, dynamic susceptibility contrast-enhanced perfusion-weighted imaging, and diffusion-weighted imaging

(2015) Hua-Feng Xiao et al.   EUROPEAN RADIOLOGY

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2013) David Moher   ANNALS OF INTERNAL MEDICINE

Progress on the diagnosis and evaluation of brain tumors

(2013) Huile Gao et al.   CANCER IMAGING

Differentiation of glioblastoma and primary CNS lymphomas using susceptibility weighted imaging

(2012) Alexander Radbruch et al.   EUROPEAN JOURNAL OF RADIOLOGY

Glioblastoma survival in the United States before and during the temozolomide era

(2011) Derek R. Johnson et al.   JOURNAL OF NEURO-ONCOLOGY

A learning method for the class imbalance problem with medical data sets

(2010) Der-Chiang Li et al.   COMPUTERS IN BIOLOGY AND MEDICINE

‘Bench To Behavior’: Translating Comparative Effectiveness Research Into Improved Clinical Practice

(2010) Jerry Avorn et al.   HEALTH AFFAIRS

N4ITK: Improved N3 Bias Correction

(2010) Nicholas J Tustison et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING