Deep CNN for Brain Tumor Classification

Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification

(2020) Ronghua Shang et al.   KNOWLEDGE-BASED SYSTEMS

Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm

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

SPRNet: Single-Pixel Reconstruction for One-Stage Instance Segmentation

(2020) Jun Yu et al.   IEEE Transactions on Cybernetics

Detecting double JPEG compression and its related anti-forensic operations with CNN

(2019) Bin Li et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Feature enhancement framework for brain tumor segmentation and classification

(2019) Bilal Tahir et al.   MICROSCOPY RESEARCH AND TECHNIQUE

A Two-Order Graph Convolutional Networks for Semi-Supervised Classification

(2019) Sichao Fu et al.   IET Image Processing

Deep Belief CNN Feature Representation Based Content Based Image Retrieval for Medical Images

(2019) Senthil Kumar Sundararajan et al.   JOURNAL OF MEDICAL SYSTEMS

HpLapGCN: Hypergraph p-Laplacian graph convolutional networks

(2019) Sichao Fu et al.   NEUROCOMPUTING

Graph convolutional network for multi-label VHR remote sensing scene recognition

(2019) Nagma Khan et al.   NEUROCOMPUTING

CNN-Based Polarimetric Decomposition Feature Selection for PolSAR Image Classification

(2019) Chen Yang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

HesGCN: Hessian graph convolutional networks for semi-supervised classification

(2019) Sichao Fu et al.   INFORMATION SCIENCES

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

Multimodal Transformer With Multi-View Visual Representation for Image Captioning

(2019) Jun Yu et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition

(2019) Jun Yu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning

(2018) Mina Yousefi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network

(2018) Odelin Charron et al.   COMPUTERS IN BIOLOGY AND MEDICINE

DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model

(2018) Bo Wu et al.   NEUROCOMPUTING

Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs

(2018) Yu Gu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

A hybrid feature extraction approach for brain MRI classification based on Bag-of-words

(2018) Wadhah Ayadi et al.   Biomedical Signal Processing and Control

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

Application of deep transfer learning for automated brain abnormality classification using MR images

(2018) Muhammed Talo et al.   Cognitive Systems Research

Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks

(2018) Muhammad Imran Razzak et al.   IEEE Journal of Biomedical and Health Informatics

Hypergraph-Induced Convolutional Networks for Visual Classification

(2018) Heyuan Shi et al.   IEEE Transactions on Neural Networks and Learning Systems

Quantitative metric for MR brain tumour grade classification using sample space density measure of analytic intrinsic mode function representation

(2017) Taranjit Kaur et al.   IET Image Processing

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation

(2017) Yu-Dong Zhang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Brain tumor classification from multi-modality MRI using wavelets and machine learning

(2017) Khalid Usman et al.   PATTERN ANALYSIS AND APPLICATIONS

A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery

(2017) Yan Liu et al.   PLoS One

A package-SFERCB-“Segmentation, feature extraction, reduction and classification analysis by both SVM and ANN for brain tumors”

(2016) Jainy Sachdeva et al.   APPLIED SOFT COMPUTING

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Improve Glioblastoma Multiforme Prognosis Prediction by Using Feature Selection and Multiple Kernel Learning

(2016) Ya Zhang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

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

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

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

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

(2016) Jens Kleesiek et al.   NEUROIMAGE

Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia

(2016) Walter H. L. Pinaya et al.   Scientific Reports

ImageNet Large Scale Visual Recognition Challenge

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

Transfer Learning for Visual Categorization: A Survey

(2015) Ling Shao et al.   IEEE Transactions on Neural Networks and Learning Systems

Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

(2015) Jun Cheng et al.   PLoS One

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

Content-Based Image Retrieval Using Spatial Layout Information in Brain Tumor T1-Weighted Contrast-Enhanced MR Images

(2014) Meiyan Huang et al.   PLoS One

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

(2013) Kenneth Clark et al.   JOURNAL OF DIGITAL IMAGING

Performance Improved Iteration-Free Artificial Neural Networks for Abnormal Magnetic Resonance Brain Image Classification

(2013) D. Jude Hemanth et al.   NEUROCOMPUTING

Unknown

(2011) Yi-hui Liu   Journal of Medical and Biological Engineering