相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Analysis of Features of Alzheimer's Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network
Modupe Odusami et al.
DIAGNOSTICS (2021)
An enhanced deep learning approach for brain cancer MRI images classification using residual networks
Sarah Ali Abdelaziz Ismael et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2020)
Cascading handcrafted features and Convolutional Neural Network for IoT-enabled brain tumor segmentation
Hikmat Khan et al.
COMPUTER COMMUNICATIONS (2020)
Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network
Javaria Amin et al.
PATTERN RECOGNITION LETTERS (2020)
Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method
Mesut Togacar et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Detection of tumors on brain MRI images using the hybrid convolutional neural network architecture
Ahmet Cinar et al.
MEDICAL HYPOTHESES (2020)
CSID: A Novel Multimodal Image Fusion Algorithm for Enhanced Clinical Diagnosis
Shah Rukh Muzammil et al.
DIAGNOSTICS (2020)
MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection
Jun Shi et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2019)
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
Jose Bernal et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2019)
Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms
Amin Kabir Anaraki et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2019)
Convolutional neural networks for multi-class brain disease detection using MRI images
Muhammed Talo et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2019)
A mix-pooling CNN architecture with FCRF for brain tumor segmentation
Jie Chang et al.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2019)
Enhanced feature extraction technique for brain MRI classification based on Haar wavelet and statistical moments
Zahid Ullah et al.
INTERNATIONAL JOURNAL OF ADVANCED AND APPLIED SCIENCES (2019)
A Modified Deep Convolutional Neural Network for Abnormal Brain Image Classification
D. Jude Hemanth et al.
IEEE ACCESS (2019)
Brain MRI Image Classification for Cancer Detection Using Deep Wavelet Autoencoder-Based Deep Neural Network
Pradeep Kumar Mallick et al.
IEEE ACCESS (2019)
A MobileNets Convolutional Neural Network for GIS Partial Discharge Pattern Recognition in the Ubiquitous Power Internet of Things Context: Optimization, Comparison, and Application
Yanxin Wang et al.
IEEE ACCESS (2019)
Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm
Yu-Dong Zhang et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
Classification of normal and abnormal brain MRI slices using Gabor texture and support vector machines
Ghulam Gilanie et al.
SIGNAL IMAGE AND VIDEO PROCESSING (2018)
Deep learning with convolutional neural network in radiology
Koichiro Yasaka et al.
JAPANESE JOURNAL OF RADIOLOGY (2018)
Deep learning with convolutional neural network in radiology
Koichiro Yasaka et al.
JAPANESE JOURNAL OF RADIOLOGY (2018)
Multi-Center Brain Imaging Classification Using a Novel 3D CNN Approach
Lin Yuan et al.
IEEE ACCESS (2018)
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
Zeynettin Akkus et al.
JOURNAL OF DIGITAL IMAGING (2017)
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
Konstantinos Kamnitsas et al.
MEDICAL IMAGE ANALYSIS (2017)
A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery
Yan Liu et al.
PLOS ONE (2017)
MRI brain tissue classification using unsupervised optimized extenics-based methods
Ruey-Maw Chen et al.
COMPUTERS & ELECTRICAL ENGINEERING (2017)
Classification of Brain MRI Tumor Images: A Hybrid Approach
Sanjeev Kumar et al.
5TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2017 (2017)
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
Sergio Pereira et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Radiomics: Images Are More than Pictures, They Are Data
Robert J. Gillies et al.
RADIOLOGY (2016)
Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation
Jun Cheng et al.
PLOS ONE (2016)
Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning
Yudong Zhang et al.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE (2015)
A simple and intelligent approach for brain MRI classification
Muhammad Nazir et al.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2015)
Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm
El-Sayed A. El-Dahshan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2014)
Understanding brain networks and brain organization
Luiz Pessoa
PHYSICS OF LIFE REVIEWS (2014)
Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies
A. Ortiz et al.
APPLIED SOFT COMPUTING (2013)
Classification of MRI brain images using combined wavelet entropy based spider web plots and probabilistic neural network
M. Saritha et al.
PATTERN RECOGNITION LETTERS (2013)
A hybrid method for MRI brain image classification
Yudong Zhang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Hybrid intelligent techniques for MRI brain images classification
El-Sayed Ahmed El-Dahshan et al.
DIGITAL SIGNAL PROCESSING (2010)
FEATURE EXTRACTION OF BRAIN MRI BY STATIONARY WAVELET TRANSFORM AND ITS APPLICATIONS
Yudong Zhang et al.
JOURNAL OF BIOLOGICAL SYSTEMS (2010)
Complex network measures of brain connectivity: Uses and interpretations
Mikail Rubinov et al.
NEUROIMAGE (2010)
Wavelet decomposition tree selection for palm and face authentication
Loris Nanni et al.
PATTERN RECOGNITION LETTERS (2008)
Small-world anatomical networks in the human brain revealed by cortical thickness from MRI
Yong He et al.
CEREBRAL CORTEX (2007)
Mapping Human Whole-Brain Structural Networks with Diffusion MRI
Patric Hagmann et al.
PLOS ONE (2007)
Genetic influences on human brain structure: A review of brain imaging studies in twins
Jiska S. Peper et al.
HUMAN BRAIN MAPPING (2007)
A Slantlet transform based intelligent system for magnetic resonance brain image classification
Madhubanti Maitra et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2006)
Complex networks: Structure and dynamics
S. Boccaletti et al.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS (2006)
Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network
Sandeep Chaplot et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2006)
MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization
S Shen et al.
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE (2005)
Strategies to configure image analysis algorithms for clinical usage
TM Lehmann et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2005)
Fast and robust parameter estimation for statistical partial volume models in brain MRI
J Tohka et al.
NEUROIMAGE (2004)
Assortative mixing in networks
MEJ Newman
PHYSICAL REVIEW LETTERS (2002)
Wavelet transforms on two-dimensional images
J Schmeelk
MATHEMATICAL AND COMPUTER MODELLING (2002)
Automatic segmentation of non-enhancing brain tumors in magnetic resonance images
LM Fletcher-Heath et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2001)
分享论文
